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Models/MDM

MDM

Reported on 306 benchmarks across 15 tasks · 5 papers · 85 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical311 results

Medical Image SegmentationonGlaS
Dice· 2023-08-10
91.95
best: 93.25 (Hi-gMISnet)
SOTA
Masked Diffusion as Self-supervised Representation Learner arXiv:2308.05695
Medical Image SegmentationonGlaS
F1· 2023-08-10
91.95
best: 93.25 (Hi-gMISnet)
SOTA
Masked Diffusion as Self-supervised Representation Learner arXiv:2308.05695
Medical Image SegmentationonGlaS
IoU· 2023-08-10
85.13
SOTA
Masked Diffusion as Self-supervised Representation Learner arXiv:2308.05695
Image GenerationonE.T. the Exceptional Trajectories
ClaTr-Score· 2022-09-29
18.32
best: 21.95 (DIRECTOR C)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Image GenerationonE.T. the Exceptional Trajectories
Classifier-F1· 2022-09-29
0.34
best: 0.48 (DIRECTOR C)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Image GenerationonE.T. the Exceptional Trajectories
FD_ClaTr· 2022-09-29
6.79
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Image GenerationonImageNet 32x32
FID· 2025-05-24
7.91
best: 0.79 (PaGoDA)
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking arXiv:2505.18495
Image GenerationonImageNet 32x32
Inception score· 2025-05-24
11.6
best: 11.82 (DDPM++ (VP, NLL) + ST)
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking arXiv:2505.18495
Image GenerationonCIFAR-10
FID· 2025-05-24
4.66
best: 1.22 (GMem)
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking arXiv:2505.18495
Image GenerationonCIFAR-10
IS· 2025-05-24
9.09
best: 9.67 (MDM-Prime)
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking arXiv:2505.18495
Brain DecodingonPhysionetMotorImagery MOABB
Accuracy· 2024-04-03
42.96454042201835
best: 59.934408990825695 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonPhysionetMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.003281270780733945
best: 2.8861695403669723 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonPhysionetMotorImagery MOABB
training time (s)· 2024-04-03
6.167569839633027
best: 1190.5449858715597 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonWeibo2014 MOABB
Accuracy· 2024-04-03
33.4078569
best: 64.3835718 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonWeibo2014 MOABB
CO2 Emission (g)· 2024-04-03
0.00188059405
best: 35.190156514 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonWeibo2014 MOABB
training time (s)· 2024-04-03
2.01196917
best: 677.4126650000001 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonAlexandreMotorImagery MOABB
Accuracy· 2024-04-03
60.62499999999999
best: 69.79166675 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonAlexandreMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.000925614838125
best: 3.21283768775 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonAlexandreMotorImagery MOABB
training time (s)· 2024-04-03
1.6782885705
best: 44.612727875000004 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-001 MOABB
Accuracy· 2024-04-03
61.600793277777775
best: 77.88163016666667 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-001 MOABB
CO2 Emission (g)· 2024-04-03
0.012491149514444445
best: 1.7743017888888888 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-001 MOABB
training time (s)· 2024-04-03
75.09591532444445
best: 147.7146591111111 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonZhou2016 MOABB
Accuracy· 2024-04-03
76.04754891666667
best: 85.85246441666668 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonZhou2016 MOABB
CO2 Emission (g)· 2024-04-03
0.0013000749791666668
best: 0.29802479833333334 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonZhou2016 MOABB
training time (s)· 2024-04-03
8.044291825
best: 129.06390283333334 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonSchirrmeister2017 MOABB
Accuracy· 2024-04-03
52.03144735714286
best: 85.52905985714287 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonSchirrmeister2017 MOABB
CO2 Emission (g)· 2024-04-03
0.007416166485714286
best: 42.28841732428571 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonSchirrmeister2017 MOABB
training time (s)· 2024-04-03
4.819618021428572
best: 1877.5478428571428 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonPhysionetMotorImagery MOABB
AUC-ROC· 2024-04-03
54.75993883486239
best: 94.27232417431192 (TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonPhysionetMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.0019827723381192664
best: 2.8861695403669723 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonPhysionetMotorImagery MOABB
training time (s)· 2024-04-03
4.593253893211009
best: 1190.5449858715597 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-004 MOABB
AUC-ROC· 2024-04-03
77.65547846666666
best: 82.0049287111111 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-004 MOABB
CO2 Emission (g)· 2024-04-03
0.0003528847734
best: 0.14387416055555555 (FBCSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-004 MOABB
training time (s)· 2024-04-03
0.9042913831777778
best: 15.25518438888889 (EEGTCNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonWeibo2014 MOABB
AUC-ROC· 2024-04-03
58.801497999999995
best: 93.39429239999998 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonWeibo2014 MOABB
CO2 Emission (g)· 2024-04-03
0.004551940515
best: 35.190156514 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonWeibo2014 MOABB
training time (s)· 2024-04-03
8.631213726
best: 677.4126650000001 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonGrosseWentrup2009 MOABB
AUC-ROC· 2024-04-03
64.291111
best: 89.2466661 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonGrosseWentrup2009 MOABB
CO2 Emission (g)· 2024-04-03
0.01076914422
best: 21.6308037 (FBCSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonGrosseWentrup2009 MOABB
training time (s)· 2024-04-03
14.947136800000001
best: 422.45747300000005 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonShin2017A MOABB
AUC-ROC· 2024-04-03
62.98850574712643
best: 72.29885057471265 (CSP + LDA)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonShin2017A MOABB
CO2 Emission (g)· 2024-04-03
0.002936805686195402
best: 21.768854620689655 (EEGTCNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonShin2017A MOABB
training time (s)· 2024-04-03
6.130959453310345
best: 118.47680619540229 (EEGTCNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonSchirrmeister2017 MOABB
AUC-ROC· 2024-04-03
61.52606428571429
best: 98.9680807142857 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonSchirrmeister2017 MOABB
CO2 Emission (g)· 2024-04-03
0.00449722365
best: 42.28841732428571 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonSchirrmeister2017 MOABB
training time (s)· 2024-04-03
5.6453727
best: 1877.5478428571428 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonCho2017 MOABB
AUC-ROC· 2024-04-03
63.39276176923077
best: 76.2289796153846 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonCho2017 MOABB
CO2 Emission (g)· 2024-04-03
0.00237880536
best: 1.8557469153846153 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonCho2017 MOABB
training time (s)· 2024-04-03
6.796549341730769
best: 62.31514830769231 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-001 MOABB
AUC-ROC· 2024-04-03
81.69425572222222
best: 97.25585694444443 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-001 MOABB
CO2 Emission (g)· 2024-04-03
0.02021859091111111
best: 1.7743017888888888 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-001 MOABB
training time (s)· 2024-04-03
42.17484379888889
best: 147.7146591111111 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonLee2019-MI MOABB
AUC-ROC· 2024-04-03
70.22962962962963
best: 84.74444444444444 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonLee2019-MI MOABB
CO2 Emission (g)· 2024-04-03
0.00100529917
best: 0.8164949121481482 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonLee2019-MI MOABB
training time (s)· 2024-04-03
3.1416363901851856
best: 52.18373611111111 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonZhou2016 MOABB
AUC-ROC· 2024-04-03
90.7018375
best: 97.20956825 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonZhou2016 MOABB
CO2 Emission (g)· 2024-04-03
0.0022293055558333334
best: 0.29802479833333334 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonZhou2016 MOABB
training time (s)· 2024-04-03
5.702021107499999
best: 129.06390283333334 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-001 MOABB
AUC-ROC· 2024-04-03
89.12547266666667
best: 97.25585694444443 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-001 MOABB
CO2 Emission (g)· 2024-04-03
0.00043345056416666666
best: 1.7743017888888888 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-001 MOABB
training time (s)· 2024-04-03
1.5749139627777777
best: 147.7146591111111 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonWeibo2014 MOABB
AUC-ROC· 2024-04-03
65.18000699999999
best: 93.39429239999998 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonWeibo2014 MOABB
CO2 Emission (g)· 2024-04-03
0.000844543333
best: 35.190156514 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonWeibo2014 MOABB
training time (s)· 2024-04-03
2.796476937
best: 677.4126650000001 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonZhou2016 MOABB
AUC-ROC· 2024-04-03
92.21307508333332
best: 97.20956825 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonZhou2016 MOABB
CO2 Emission (g)· 2024-04-03
0.00003917033591666667
best: 0.29802479833333334 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonZhou2016 MOABB
training time (s)· 2024-04-03
0.062127622166666674
best: 129.06390283333334 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2015-001 MOABB
AUC-ROC· 2024-04-03
86.20357142857144
best: 92.30178571428571 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2015-001 MOABB
CO2 Emission (g)· 2024-04-03
0.0007177980582857143
best: 0.9452996678571429 (FBCSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2015-001 MOABB
training time (s)· 2024-04-03
1.3408162827142858
best: 41.56138553571429 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonSchirrmeister2017 MOABB
AUC-ROC· 2024-04-03
84.6734955
best: 98.9680807142857 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonSchirrmeister2017 MOABB
CO2 Emission (g)· 2024-04-03
0.012343685785714287
best: 42.28841732428571 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonSchirrmeister2017 MOABB
training time (s)· 2024-04-03
11.868311578571427
best: 1877.5478428571428 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonPhysionetMotorImagery MOABB
AUC-ROC· 2024-04-03
81.77716613761469
best: 94.27232417431192 (TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonPhysionetMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.0009060356478532111
best: 2.8861695403669723 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonPhysionetMotorImagery MOABB
training time (s)· 2024-04-03
2.9963101233394496
best: 1190.5449858715597 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-002 MOABB
AUC-ROC· 2024-04-03
77.48325942857143
best: 87.645089 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-002 MOABB
CO2 Emission (g)· 2024-04-03
0.0001488995962142857
best: 0.44054961000000004 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2014-002 MOABB
training time (s)· 2024-04-03
0.5031258411428572
best: 40.932428357142854 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2015-004 MOABB
AUC-ROC· 2024-04-03
48.451672277777774
best: 62.55243744444444 (TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2015-004 MOABB
CO2 Emission (g)· 2024-04-03
0.0008106952038888889
best: 0.9881697544444444 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonBNCI2015-004 MOABB
training time (s)· 2024-04-03
1.3395202661111112
best: 38.20503083333333 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonAlexandreMotorImagery MOABB
AUC-ROC· 2024-04-03
74.21875
best: 83.75 (TS + LR)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonAlexandreMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.00035755518724999997
best: 3.21283768775 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain DecodingonAlexandreMotorImagery MOABB
training time (s)· 2024-04-03
2.244058851625
best: 44.612727875000004 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonPhysionetMotorImagery MOABB
Accuracy· 2024-04-03
42.96454042201835
best: 59.934408990825695 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonPhysionetMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.003281270780733945
best: 2.8861695403669723 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonPhysionetMotorImagery MOABB
training time (s)· 2024-04-03
6.167569839633027
best: 1190.5449858715597 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonWeibo2014 MOABB
Accuracy· 2024-04-03
33.4078569
best: 64.3835718 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonWeibo2014 MOABB
CO2 Emission (g)· 2024-04-03
0.00188059405
best: 35.190156514 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonWeibo2014 MOABB
training time (s)· 2024-04-03
2.01196917
best: 677.4126650000001 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonAlexandreMotorImagery MOABB
Accuracy· 2024-04-03
60.62499999999999
best: 69.79166675 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonAlexandreMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.000925614838125
best: 3.21283768775 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonAlexandreMotorImagery MOABB
training time (s)· 2024-04-03
1.6782885705
best: 44.612727875000004 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-001 MOABB
Accuracy· 2024-04-03
61.600793277777775
best: 77.88163016666667 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-001 MOABB
CO2 Emission (g)· 2024-04-03
0.012491149514444445
best: 1.7743017888888888 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-001 MOABB
training time (s)· 2024-04-03
75.09591532444445
best: 147.7146591111111 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonZhou2016 MOABB
Accuracy· 2024-04-03
76.04754891666667
best: 85.85246441666668 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonZhou2016 MOABB
CO2 Emission (g)· 2024-04-03
0.0013000749791666668
best: 0.29802479833333334 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonZhou2016 MOABB
training time (s)· 2024-04-03
8.044291825
best: 129.06390283333334 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonSchirrmeister2017 MOABB
Accuracy· 2024-04-03
52.03144735714286
best: 85.52905985714287 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonSchirrmeister2017 MOABB
CO2 Emission (g)· 2024-04-03
0.007416166485714286
best: 42.28841732428571 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonSchirrmeister2017 MOABB
training time (s)· 2024-04-03
4.819618021428572
best: 1877.5478428571428 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonPhysionetMotorImagery MOABB
AUC-ROC· 2024-04-03
54.75993883486239
best: 94.27232417431192 (TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonPhysionetMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.0019827723381192664
best: 2.8861695403669723 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonPhysionetMotorImagery MOABB
training time (s)· 2024-04-03
4.593253893211009
best: 1190.5449858715597 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-004 MOABB
AUC-ROC· 2024-04-03
77.65547846666666
best: 82.0049287111111 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-004 MOABB
CO2 Emission (g)· 2024-04-03
0.0003528847734
best: 0.14387416055555555 (FBCSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-004 MOABB
training time (s)· 2024-04-03
0.9042913831777778
best: 15.25518438888889 (EEGTCNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonWeibo2014 MOABB
AUC-ROC· 2024-04-03
58.801497999999995
best: 93.39429239999998 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonWeibo2014 MOABB
CO2 Emission (g)· 2024-04-03
0.004551940515
best: 35.190156514 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonWeibo2014 MOABB
training time (s)· 2024-04-03
8.631213726
best: 677.4126650000001 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonGrosseWentrup2009 MOABB
AUC-ROC· 2024-04-03
64.291111
best: 89.2466661 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonGrosseWentrup2009 MOABB
CO2 Emission (g)· 2024-04-03
0.01076914422
best: 21.6308037 (FBCSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonGrosseWentrup2009 MOABB
training time (s)· 2024-04-03
14.947136800000001
best: 422.45747300000005 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonShin2017A MOABB
AUC-ROC· 2024-04-03
62.98850574712643
best: 72.29885057471265 (CSP + LDA)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonShin2017A MOABB
CO2 Emission (g)· 2024-04-03
0.002936805686195402
best: 21.768854620689655 (EEGTCNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonShin2017A MOABB
training time (s)· 2024-04-03
6.130959453310345
best: 118.47680619540229 (EEGTCNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonSchirrmeister2017 MOABB
AUC-ROC· 2024-04-03
61.52606428571429
best: 98.9680807142857 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonSchirrmeister2017 MOABB
CO2 Emission (g)· 2024-04-03
0.00449722365
best: 42.28841732428571 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonSchirrmeister2017 MOABB
training time (s)· 2024-04-03
5.6453727
best: 1877.5478428571428 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonCho2017 MOABB
AUC-ROC· 2024-04-03
63.39276176923077
best: 76.2289796153846 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonCho2017 MOABB
CO2 Emission (g)· 2024-04-03
0.00237880536
best: 1.8557469153846153 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonCho2017 MOABB
training time (s)· 2024-04-03
6.796549341730769
best: 62.31514830769231 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-001 MOABB
AUC-ROC· 2024-04-03
81.69425572222222
best: 97.25585694444443 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-001 MOABB
CO2 Emission (g)· 2024-04-03
0.02021859091111111
best: 1.7743017888888888 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-001 MOABB
training time (s)· 2024-04-03
42.17484379888889
best: 147.7146591111111 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonLee2019-MI MOABB
AUC-ROC· 2024-04-03
70.22962962962963
best: 84.74444444444444 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonLee2019-MI MOABB
CO2 Emission (g)· 2024-04-03
0.00100529917
best: 0.8164949121481482 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonLee2019-MI MOABB
training time (s)· 2024-04-03
3.1416363901851856
best: 52.18373611111111 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonZhou2016 MOABB
AUC-ROC· 2024-04-03
90.7018375
best: 97.20956825 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonZhou2016 MOABB
CO2 Emission (g)· 2024-04-03
0.0022293055558333334
best: 0.29802479833333334 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonZhou2016 MOABB
training time (s)· 2024-04-03
5.702021107499999
best: 129.06390283333334 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-001 MOABB
AUC-ROC· 2024-04-03
89.12547266666667
best: 97.25585694444443 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-001 MOABB
CO2 Emission (g)· 2024-04-03
0.00043345056416666666
best: 1.7743017888888888 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-001 MOABB
training time (s)· 2024-04-03
1.5749139627777777
best: 147.7146591111111 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonWeibo2014 MOABB
AUC-ROC· 2024-04-03
65.18000699999999
best: 93.39429239999998 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonWeibo2014 MOABB
CO2 Emission (g)· 2024-04-03
0.000844543333
best: 35.190156514 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonWeibo2014 MOABB
training time (s)· 2024-04-03
2.796476937
best: 677.4126650000001 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonZhou2016 MOABB
AUC-ROC· 2024-04-03
92.21307508333332
best: 97.20956825 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonZhou2016 MOABB
CO2 Emission (g)· 2024-04-03
0.00003917033591666667
best: 0.29802479833333334 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonZhou2016 MOABB
training time (s)· 2024-04-03
0.062127622166666674
best: 129.06390283333334 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2015-001 MOABB
AUC-ROC· 2024-04-03
86.20357142857144
best: 92.30178571428571 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2015-001 MOABB
CO2 Emission (g)· 2024-04-03
0.0007177980582857143
best: 0.9452996678571429 (FBCSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2015-001 MOABB
training time (s)· 2024-04-03
1.3408162827142858
best: 41.56138553571429 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonSchirrmeister2017 MOABB
AUC-ROC· 2024-04-03
84.6734955
best: 98.9680807142857 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonSchirrmeister2017 MOABB
CO2 Emission (g)· 2024-04-03
0.012343685785714287
best: 42.28841732428571 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonSchirrmeister2017 MOABB
training time (s)· 2024-04-03
11.868311578571427
best: 1877.5478428571428 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonPhysionetMotorImagery MOABB
AUC-ROC· 2024-04-03
81.77716613761469
best: 94.27232417431192 (TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonPhysionetMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.0009060356478532111
best: 2.8861695403669723 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonPhysionetMotorImagery MOABB
training time (s)· 2024-04-03
2.9963101233394496
best: 1190.5449858715597 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-002 MOABB
AUC-ROC· 2024-04-03
77.48325942857143
best: 87.645089 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-002 MOABB
CO2 Emission (g)· 2024-04-03
0.0001488995962142857
best: 0.44054961000000004 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2014-002 MOABB
training time (s)· 2024-04-03
0.5031258411428572
best: 40.932428357142854 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2015-004 MOABB
AUC-ROC· 2024-04-03
48.451672277777774
best: 62.55243744444444 (TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2015-004 MOABB
CO2 Emission (g)· 2024-04-03
0.0008106952038888889
best: 0.9881697544444444 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonBNCI2015-004 MOABB
training time (s)· 2024-04-03
1.3395202661111112
best: 38.20503083333333 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonAlexandreMotorImagery MOABB
AUC-ROC· 2024-04-03
74.21875
best: 83.75 (TS + LR)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonAlexandreMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.00035755518724999997
best: 3.21283768775 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Brain Computer InterfaceonAlexandreMotorImagery MOABB
training time (s)· 2024-04-03
2.244058851625
best: 44.612727875000004 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonPhysionetMotorImagery MOABB
Accuracy· 2024-04-03
42.96454042201835
best: 59.934408990825695 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonPhysionetMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.003281270780733945
best: 2.8861695403669723 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonPhysionetMotorImagery MOABB
training time (s)· 2024-04-03
6.167569839633027
best: 1190.5449858715597 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonWeibo2014 MOABB
Accuracy· 2024-04-03
33.4078569
best: 64.3835718 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonWeibo2014 MOABB
CO2 Emission (g)· 2024-04-03
0.00188059405
best: 35.190156514 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonWeibo2014 MOABB
training time (s)· 2024-04-03
2.01196917
best: 677.4126650000001 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonAlexandreMotorImagery MOABB
Accuracy· 2024-04-03
60.62499999999999
best: 69.79166675 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonAlexandreMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.000925614838125
best: 3.21283768775 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonAlexandreMotorImagery MOABB
training time (s)· 2024-04-03
1.6782885705
best: 44.612727875000004 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-001 MOABB
Accuracy· 2024-04-03
61.600793277777775
best: 77.88163016666667 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-001 MOABB
CO2 Emission (g)· 2024-04-03
0.012491149514444445
best: 1.7743017888888888 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-001 MOABB
training time (s)· 2024-04-03
75.09591532444445
best: 147.7146591111111 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonZhou2016 MOABB
Accuracy· 2024-04-03
76.04754891666667
best: 85.85246441666668 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonZhou2016 MOABB
CO2 Emission (g)· 2024-04-03
0.0013000749791666668
best: 0.29802479833333334 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonZhou2016 MOABB
training time (s)· 2024-04-03
8.044291825
best: 129.06390283333334 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonSchirrmeister2017 MOABB
Accuracy· 2024-04-03
52.03144735714286
best: 85.52905985714287 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonSchirrmeister2017 MOABB
CO2 Emission (g)· 2024-04-03
0.007416166485714286
best: 42.28841732428571 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonSchirrmeister2017 MOABB
training time (s)· 2024-04-03
4.819618021428572
best: 1877.5478428571428 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonPhysionetMotorImagery MOABB
AUC-ROC· 2024-04-03
54.75993883486239
best: 94.27232417431192 (TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonPhysionetMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.0019827723381192664
best: 2.8861695403669723 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonPhysionetMotorImagery MOABB
training time (s)· 2024-04-03
4.593253893211009
best: 1190.5449858715597 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-004 MOABB
AUC-ROC· 2024-04-03
77.65547846666666
best: 82.0049287111111 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-004 MOABB
CO2 Emission (g)· 2024-04-03
0.0003528847734
best: 0.14387416055555555 (FBCSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-004 MOABB
training time (s)· 2024-04-03
0.9042913831777778
best: 15.25518438888889 (EEGTCNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonWeibo2014 MOABB
AUC-ROC· 2024-04-03
58.801497999999995
best: 93.39429239999998 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonWeibo2014 MOABB
CO2 Emission (g)· 2024-04-03
0.004551940515
best: 35.190156514 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonWeibo2014 MOABB
training time (s)· 2024-04-03
8.631213726
best: 677.4126650000001 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonGrosseWentrup2009 MOABB
AUC-ROC· 2024-04-03
64.291111
best: 89.2466661 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonGrosseWentrup2009 MOABB
CO2 Emission (g)· 2024-04-03
0.01076914422
best: 21.6308037 (FBCSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonGrosseWentrup2009 MOABB
training time (s)· 2024-04-03
14.947136800000001
best: 422.45747300000005 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonShin2017A MOABB
AUC-ROC· 2024-04-03
62.98850574712643
best: 72.29885057471265 (CSP + LDA)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonShin2017A MOABB
CO2 Emission (g)· 2024-04-03
0.002936805686195402
best: 21.768854620689655 (EEGTCNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonShin2017A MOABB
training time (s)· 2024-04-03
6.130959453310345
best: 118.47680619540229 (EEGTCNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonSchirrmeister2017 MOABB
AUC-ROC· 2024-04-03
61.52606428571429
best: 98.9680807142857 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonSchirrmeister2017 MOABB
CO2 Emission (g)· 2024-04-03
0.00449722365
best: 42.28841732428571 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonSchirrmeister2017 MOABB
training time (s)· 2024-04-03
5.6453727
best: 1877.5478428571428 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonCho2017 MOABB
AUC-ROC· 2024-04-03
63.39276176923077
best: 76.2289796153846 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonCho2017 MOABB
CO2 Emission (g)· 2024-04-03
0.00237880536
best: 1.8557469153846153 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonCho2017 MOABB
training time (s)· 2024-04-03
6.796549341730769
best: 62.31514830769231 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-001 MOABB
AUC-ROC· 2024-04-03
81.69425572222222
best: 97.25585694444443 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-001 MOABB
CO2 Emission (g)· 2024-04-03
0.02021859091111111
best: 1.7743017888888888 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-001 MOABB
training time (s)· 2024-04-03
42.17484379888889
best: 147.7146591111111 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonLee2019-MI MOABB
AUC-ROC· 2024-04-03
70.22962962962963
best: 84.74444444444444 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonLee2019-MI MOABB
CO2 Emission (g)· 2024-04-03
0.00100529917
best: 0.8164949121481482 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonLee2019-MI MOABB
training time (s)· 2024-04-03
3.1416363901851856
best: 52.18373611111111 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonZhou2016 MOABB
AUC-ROC· 2024-04-03
90.7018375
best: 97.20956825 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonZhou2016 MOABB
CO2 Emission (g)· 2024-04-03
0.0022293055558333334
best: 0.29802479833333334 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonZhou2016 MOABB
training time (s)· 2024-04-03
5.702021107499999
best: 129.06390283333334 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-001 MOABB
AUC-ROC· 2024-04-03
89.12547266666667
best: 97.25585694444443 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-001 MOABB
CO2 Emission (g)· 2024-04-03
0.00043345056416666666
best: 1.7743017888888888 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-001 MOABB
training time (s)· 2024-04-03
1.5749139627777777
best: 147.7146591111111 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonWeibo2014 MOABB
AUC-ROC· 2024-04-03
65.18000699999999
best: 93.39429239999998 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonWeibo2014 MOABB
CO2 Emission (g)· 2024-04-03
0.000844543333
best: 35.190156514 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonWeibo2014 MOABB
training time (s)· 2024-04-03
2.796476937
best: 677.4126650000001 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonZhou2016 MOABB
AUC-ROC· 2024-04-03
92.21307508333332
best: 97.20956825 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonZhou2016 MOABB
CO2 Emission (g)· 2024-04-03
0.00003917033591666667
best: 0.29802479833333334 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonZhou2016 MOABB
training time (s)· 2024-04-03
0.062127622166666674
best: 129.06390283333334 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2015-001 MOABB
AUC-ROC· 2024-04-03
86.20357142857144
best: 92.30178571428571 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2015-001 MOABB
CO2 Emission (g)· 2024-04-03
0.0007177980582857143
best: 0.9452996678571429 (FBCSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2015-001 MOABB
training time (s)· 2024-04-03
1.3408162827142858
best: 41.56138553571429 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonSchirrmeister2017 MOABB
AUC-ROC· 2024-04-03
84.6734955
best: 98.9680807142857 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonSchirrmeister2017 MOABB
CO2 Emission (g)· 2024-04-03
0.012343685785714287
best: 42.28841732428571 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonSchirrmeister2017 MOABB
training time (s)· 2024-04-03
11.868311578571427
best: 1877.5478428571428 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonPhysionetMotorImagery MOABB
AUC-ROC· 2024-04-03
81.77716613761469
best: 94.27232417431192 (TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonPhysionetMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.0009060356478532111
best: 2.8861695403669723 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonPhysionetMotorImagery MOABB
training time (s)· 2024-04-03
2.9963101233394496
best: 1190.5449858715597 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-002 MOABB
AUC-ROC· 2024-04-03
77.48325942857143
best: 87.645089 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-002 MOABB
CO2 Emission (g)· 2024-04-03
0.0001488995962142857
best: 0.44054961000000004 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2014-002 MOABB
training time (s)· 2024-04-03
0.5031258411428572
best: 40.932428357142854 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2015-004 MOABB
AUC-ROC· 2024-04-03
48.451672277777774
best: 62.55243744444444 (TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2015-004 MOABB
CO2 Emission (g)· 2024-04-03
0.0008106952038888889
best: 0.9881697544444444 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonBNCI2015-004 MOABB
training time (s)· 2024-04-03
1.3395202661111112
best: 38.20503083333333 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonAlexandreMotorImagery MOABB
AUC-ROC· 2024-04-03
74.21875
best: 83.75 (TS + LR)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonAlexandreMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.00035755518724999997
best: 3.21283768775 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Motor ImageryonAlexandreMotorImagery MOABB
training time (s)· 2024-04-03
2.244058851625
best: 44.612727875000004 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonPhysionetMotorImagery MOABB
Accuracy· 2024-04-03
42.96454042201835
best: 59.934408990825695 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonPhysionetMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.003281270780733945
best: 2.8861695403669723 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonPhysionetMotorImagery MOABB
training time (s)· 2024-04-03
6.167569839633027
best: 1190.5449858715597 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonWeibo2014 MOABB
Accuracy· 2024-04-03
33.4078569
best: 64.3835718 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonWeibo2014 MOABB
CO2 Emission (g)· 2024-04-03
0.00188059405
best: 35.190156514 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonWeibo2014 MOABB
training time (s)· 2024-04-03
2.01196917
best: 677.4126650000001 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonAlexandreMotorImagery MOABB
Accuracy· 2024-04-03
60.62499999999999
best: 69.79166675 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonAlexandreMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.000925614838125
best: 3.21283768775 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonAlexandreMotorImagery MOABB
training time (s)· 2024-04-03
1.6782885705
best: 44.612727875000004 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-001 MOABB
Accuracy· 2024-04-03
61.600793277777775
best: 77.88163016666667 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-001 MOABB
CO2 Emission (g)· 2024-04-03
0.012491149514444445
best: 1.7743017888888888 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-001 MOABB
training time (s)· 2024-04-03
75.09591532444445
best: 147.7146591111111 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonZhou2016 MOABB
Accuracy· 2024-04-03
76.04754891666667
best: 85.85246441666668 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonZhou2016 MOABB
CO2 Emission (g)· 2024-04-03
0.0013000749791666668
best: 0.29802479833333334 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonZhou2016 MOABB
training time (s)· 2024-04-03
8.044291825
best: 129.06390283333334 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonSchirrmeister2017 MOABB
Accuracy· 2024-04-03
52.03144735714286
best: 85.52905985714287 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonSchirrmeister2017 MOABB
CO2 Emission (g)· 2024-04-03
0.007416166485714286
best: 42.28841732428571 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonSchirrmeister2017 MOABB
training time (s)· 2024-04-03
4.819618021428572
best: 1877.5478428571428 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonPhysionetMotorImagery MOABB
AUC-ROC· 2024-04-03
54.75993883486239
best: 94.27232417431192 (TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonPhysionetMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.0019827723381192664
best: 2.8861695403669723 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonPhysionetMotorImagery MOABB
training time (s)· 2024-04-03
4.593253893211009
best: 1190.5449858715597 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-004 MOABB
AUC-ROC· 2024-04-03
77.65547846666666
best: 82.0049287111111 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-004 MOABB
CO2 Emission (g)· 2024-04-03
0.0003528847734
best: 0.14387416055555555 (FBCSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-004 MOABB
training time (s)· 2024-04-03
0.9042913831777778
best: 15.25518438888889 (EEGTCNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonWeibo2014 MOABB
AUC-ROC· 2024-04-03
58.801497999999995
best: 93.39429239999998 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonWeibo2014 MOABB
CO2 Emission (g)· 2024-04-03
0.004551940515
best: 35.190156514 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonWeibo2014 MOABB
training time (s)· 2024-04-03
8.631213726
best: 677.4126650000001 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonGrosseWentrup2009 MOABB
AUC-ROC· 2024-04-03
64.291111
best: 89.2466661 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonGrosseWentrup2009 MOABB
CO2 Emission (g)· 2024-04-03
0.01076914422
best: 21.6308037 (FBCSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonGrosseWentrup2009 MOABB
training time (s)· 2024-04-03
14.947136800000001
best: 422.45747300000005 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonShin2017A MOABB
AUC-ROC· 2024-04-03
62.98850574712643
best: 72.29885057471265 (CSP + LDA)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonShin2017A MOABB
CO2 Emission (g)· 2024-04-03
0.002936805686195402
best: 21.768854620689655 (EEGTCNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonShin2017A MOABB
training time (s)· 2024-04-03
6.130959453310345
best: 118.47680619540229 (EEGTCNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonSchirrmeister2017 MOABB
AUC-ROC· 2024-04-03
61.52606428571429
best: 98.9680807142857 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonSchirrmeister2017 MOABB
CO2 Emission (g)· 2024-04-03
0.00449722365
best: 42.28841732428571 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonSchirrmeister2017 MOABB
training time (s)· 2024-04-03
5.6453727
best: 1877.5478428571428 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonCho2017 MOABB
AUC-ROC· 2024-04-03
63.39276176923077
best: 76.2289796153846 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonCho2017 MOABB
CO2 Emission (g)· 2024-04-03
0.00237880536
best: 1.8557469153846153 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonCho2017 MOABB
training time (s)· 2024-04-03
6.796549341730769
best: 62.31514830769231 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-001 MOABB
AUC-ROC· 2024-04-03
81.69425572222222
best: 97.25585694444443 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-001 MOABB
CO2 Emission (g)· 2024-04-03
0.02021859091111111
best: 1.7743017888888888 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-001 MOABB
training time (s)· 2024-04-03
42.17484379888889
best: 147.7146591111111 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonLee2019-MI MOABB
AUC-ROC· 2024-04-03
70.22962962962963
best: 84.74444444444444 (TS + EL)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonLee2019-MI MOABB
CO2 Emission (g)· 2024-04-03
0.00100529917
best: 0.8164949121481482 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonLee2019-MI MOABB
training time (s)· 2024-04-03
3.1416363901851856
best: 52.18373611111111 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonZhou2016 MOABB
AUC-ROC· 2024-04-03
90.7018375
best: 97.20956825 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonZhou2016 MOABB
CO2 Emission (g)· 2024-04-03
0.0022293055558333334
best: 0.29802479833333334 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonZhou2016 MOABB
training time (s)· 2024-04-03
5.702021107499999
best: 129.06390283333334 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-001 MOABB
AUC-ROC· 2024-04-03
89.12547266666667
best: 97.25585694444443 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-001 MOABB
CO2 Emission (g)· 2024-04-03
0.00043345056416666666
best: 1.7743017888888888 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-001 MOABB
training time (s)· 2024-04-03
1.5749139627777777
best: 147.7146591111111 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonWeibo2014 MOABB
AUC-ROC· 2024-04-03
65.18000699999999
best: 93.39429239999998 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonWeibo2014 MOABB
CO2 Emission (g)· 2024-04-03
0.000844543333
best: 35.190156514 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonWeibo2014 MOABB
training time (s)· 2024-04-03
2.796476937
best: 677.4126650000001 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonZhou2016 MOABB
AUC-ROC· 2024-04-03
92.21307508333332
best: 97.20956825 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonZhou2016 MOABB
CO2 Emission (g)· 2024-04-03
0.00003917033591666667
best: 0.29802479833333334 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonZhou2016 MOABB
training time (s)· 2024-04-03
0.062127622166666674
best: 129.06390283333334 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2015-001 MOABB
AUC-ROC· 2024-04-03
86.20357142857144
best: 92.30178571428571 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2015-001 MOABB
CO2 Emission (g)· 2024-04-03
0.0007177980582857143
best: 0.9452996678571429 (FBCSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2015-001 MOABB
training time (s)· 2024-04-03
1.3408162827142858
best: 41.56138553571429 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonSchirrmeister2017 MOABB
AUC-ROC· 2024-04-03
84.6734955
best: 98.9680807142857 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonSchirrmeister2017 MOABB
CO2 Emission (g)· 2024-04-03
0.012343685785714287
best: 42.28841732428571 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonSchirrmeister2017 MOABB
training time (s)· 2024-04-03
11.868311578571427
best: 1877.5478428571428 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonPhysionetMotorImagery MOABB
AUC-ROC· 2024-04-03
81.77716613761469
best: 94.27232417431192 (TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonPhysionetMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.0009060356478532111
best: 2.8861695403669723 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonPhysionetMotorImagery MOABB
training time (s)· 2024-04-03
2.9963101233394496
best: 1190.5449858715597 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-002 MOABB
AUC-ROC· 2024-04-03
77.48325942857143
best: 87.645089 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-002 MOABB
CO2 Emission (g)· 2024-04-03
0.0001488995962142857
best: 0.44054961000000004 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2014-002 MOABB
training time (s)· 2024-04-03
0.5031258411428572
best: 40.932428357142854 (EEGNeX)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2015-004 MOABB
AUC-ROC· 2024-04-03
48.451672277777774
best: 62.55243744444444 (TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2015-004 MOABB
CO2 Emission (g)· 2024-04-03
0.0008106952038888889
best: 0.9881697544444444 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonBNCI2015-004 MOABB
training time (s)· 2024-04-03
1.3395202661111112
best: 38.20503083333333 (ACM + TS + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonAlexandreMotorImagery MOABB
AUC-ROC· 2024-04-03
74.21875
best: 83.75 (TS + LR)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonAlexandreMotorImagery MOABB
CO2 Emission (g)· 2024-04-03
0.00035755518724999997
best: 3.21283768775 (ShallowConvNet)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Within-Session Motor ImageryonAlexandreMotorImagery MOABB
training time (s)· 2024-04-03
2.244058851625
best: 44.612727875000004 (CSP + SVM)
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark arXiv:2404.15319
Medical Image SegmentationonMoNuSeg
F1· 2023-08-10
81.01
best: 84.6 (Stardist)
Masked Diffusion as Self-supervised Representation Learner arXiv:2308.05695

Audio49 results

10-shot image generationonHumanML3D
Diversity· 2022-09-29
9.559
best: 23.692 (Diffuion Motion)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonHumanML3D
FID· 2022-09-29
0.544
best: 0.028 (Motion Anything)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonHumanML3D
Multimodality· 2022-09-29
2.799
best: 4.139 (TM2D (t2m))
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonInter-X
FID· 2022-09-29
23.701
best: 0.399 (InterMask)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonInter-X
MMDist· 2022-09-29
9.548
best: 9.58 (InterGen)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonInter-X
MModality· 2022-09-29
3.49
best: 3.686 (InterGen)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonInter-X
R-Precision Top3· 2022-09-29
0.426
best: 0.705 (InterMask)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonInterHuman
FID· 2022-09-29
9.167
best: 5.154 (InterMask)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonInterHuman
MMDist· 2022-09-29
7.125
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonInterHuman
MModality· 2022-09-29
2.35
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonMotion-X
Diversity· 2022-09-29
11.4
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonMotion-X
FID· 2022-09-29
3.8
best: 1.174 (HumanTOMATO)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonMotion-X
MModality· 2022-09-29
2.53
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonMotion-X
TMR-Matching Score· 2022-09-29
0.84
best: 0.883 (MLD)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonMotion-X
TMR-R-Precision Top3· 2022-09-29
0.6341
best: 0.703 (HumanTOMATO)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonHumanAct12
Accuracy· 2022-09-29
0.99
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonHumanAct12
FID· 2022-09-29
0.08
best: 0.077 (MLD)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonHumanAct12
Multimodality· 2022-09-29
2.58
best: 2.824 (MLD)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonKIT Motion-Language
FID· 2022-09-29
0.497
best: 0.131 (Motion Anything)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonHumanML3D
Diversity· 2022-09-29
9.559
best: 23.692 (Diffuion Motion)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonHumanML3D
FID· 2022-09-29
0.544
best: 0.028 (Motion Anything)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonHumanML3D
Multimodality· 2022-09-29
2.799
best: 4.139 (TM2D (t2m))
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonInter-X
FID· 2022-09-29
23.701
best: 0.399 (InterMask)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonInter-X
MMDist· 2022-09-29
9.548
best: 9.58 (InterGen)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonInter-X
MModality· 2022-09-29
3.49
best: 3.686 (InterGen)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonInter-X
R-Precision Top3· 2022-09-29
0.426
best: 0.705 (InterMask)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonInterHuman
FID· 2022-09-29
9.167
best: 5.154 (InterMask)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonInterHuman
MMDist· 2022-09-29
7.125
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonInterHuman
MModality· 2022-09-29
2.35
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonMotion-X
Diversity· 2022-09-29
11.4
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonMotion-X
FID· 2022-09-29
3.8
best: 1.174 (HumanTOMATO)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonMotion-X
MModality· 2022-09-29
2.53
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonMotion-X
TMR-Matching Score· 2022-09-29
0.84
best: 0.883 (MLD)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonMotion-X
TMR-R-Precision Top3· 2022-09-29
0.6341
best: 0.703 (HumanTOMATO)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonHumanAct12
Accuracy· 2022-09-29
0.99
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonHumanAct12
FID· 2022-09-29
0.08
best: 0.077 (MLD)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonHumanAct12
Multimodality· 2022-09-29
2.58
best: 2.824 (MLD)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonKIT Motion-Language
FID· 2022-09-29
0.497
best: 0.131 (Motion Anything)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonHumanML3D
R Precision Top3· 2022-09-29
0.611
best: 0.842 (MotionPCM)
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonInterHuman
R-Precision Top3· 2022-09-29
0.339
best: 0.687 (in2IN)
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonKIT Motion-Language
Diversity· 2022-09-29
10.847
best: 11.198 (T2M-GPT (τ = 0))
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonKIT Motion-Language
Multimodality· 2022-09-29
1.907
best: 3.627 (GraphMotion)
Human Motion Diffusion Model arXiv:2209.14916
10-shot image generationonKIT Motion-Language
R Precision Top3· 2022-09-29
0.396
best: 0.803 (BiPO)
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonHumanML3D
R Precision Top3· 2022-09-29
0.611
best: 0.842 (MotionPCM)
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonInterHuman
R-Precision Top3· 2022-09-29
0.339
best: 0.687 (in2IN)
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonKIT Motion-Language
Diversity· 2022-09-29
10.847
best: 11.198 (T2M-GPT (τ = 0))
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonKIT Motion-Language
Multimodality· 2022-09-29
1.907
best: 3.627 (GraphMotion)
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose TrackingonKIT Motion-Language
R Precision Top3· 2022-09-29
0.396
best: 0.803 (BiPO)
Human Motion Diffusion Model arXiv:2209.14916
1 Image, 2*2 StitchionMPI-INF-3DHP
PCK· 2019-04-11
67.9
best: 99.37 (LMT R152 384x384)
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network arXiv:1904.05547

Computer Vision26 results

Pose TrackingonHumanML3D
Diversity· 2022-09-29
9.559
best: 23.692 (Diffuion Motion)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonHumanML3D
FID· 2022-09-29
0.544
best: 0.028 (Motion Anything)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonHumanML3D
Multimodality· 2022-09-29
2.799
best: 4.139 (TM2D (t2m))
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonInter-X
FID· 2022-09-29
23.701
best: 0.399 (InterMask)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonInter-X
MMDist· 2022-09-29
9.548
best: 9.58 (InterGen)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonInter-X
MModality· 2022-09-29
3.49
best: 3.686 (InterGen)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonInter-X
R-Precision Top3· 2022-09-29
0.426
best: 0.705 (InterMask)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonInterHuman
FID· 2022-09-29
9.167
best: 5.154 (InterMask)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonInterHuman
MMDist· 2022-09-29
7.125
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonInterHuman
MModality· 2022-09-29
2.35
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonMotion-X
Diversity· 2022-09-29
11.4
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonMotion-X
FID· 2022-09-29
3.8
best: 1.174 (HumanTOMATO)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonMotion-X
MModality· 2022-09-29
2.53
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonMotion-X
TMR-Matching Score· 2022-09-29
0.84
best: 0.883 (MLD)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonMotion-X
TMR-R-Precision Top3· 2022-09-29
0.6341
best: 0.703 (HumanTOMATO)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonHumanAct12
Accuracy· 2022-09-29
0.99
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonHumanAct12
FID· 2022-09-29
0.08
best: 0.077 (MLD)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonHumanAct12
Multimodality· 2022-09-29
2.58
best: 2.824 (MLD)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonKIT Motion-Language
FID· 2022-09-29
0.497
best: 0.131 (Motion Anything)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonHumanML3D
R Precision Top3· 2022-09-29
0.611
best: 0.842 (MotionPCM)
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonInterHuman
R-Precision Top3· 2022-09-29
0.339
best: 0.687 (in2IN)
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonKIT Motion-Language
Diversity· 2022-09-29
10.847
best: 11.198 (T2M-GPT (τ = 0))
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonKIT Motion-Language
Multimodality· 2022-09-29
1.907
best: 3.627 (GraphMotion)
Human Motion Diffusion Model arXiv:2209.14916
Pose TrackingonKIT Motion-Language
R Precision Top3· 2022-09-29
0.396
best: 0.803 (BiPO)
Human Motion Diffusion Model arXiv:2209.14916
3D Human Pose EstimationonMPI-INF-3DHP
PCK· 2019-04-11
67.9
best: 99.37 (LMT R152 384x384)
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network arXiv:1904.05547
Pose EstimationonMPI-INF-3DHP
PCK· 2019-04-11
67.9
best: 99.37 (LMT R152 384x384)
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network arXiv:1904.05547

Computer Code24 results

Motion SynthesisonHumanML3D
Diversity· 2022-09-29
9.559
best: 23.692 (Diffuion Motion)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonHumanML3D
FID· 2022-09-29
0.544
best: 0.028 (Motion Anything)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonHumanML3D
Multimodality· 2022-09-29
2.799
best: 4.139 (TM2D (t2m))
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonInter-X
FID· 2022-09-29
23.701
best: 0.399 (InterMask)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonInter-X
MMDist· 2022-09-29
9.548
best: 9.58 (InterGen)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonInter-X
MModality· 2022-09-29
3.49
best: 3.686 (InterGen)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonInter-X
R-Precision Top3· 2022-09-29
0.426
best: 0.705 (InterMask)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonInterHuman
FID· 2022-09-29
9.167
best: 5.154 (InterMask)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonInterHuman
MMDist· 2022-09-29
7.125
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonInterHuman
MModality· 2022-09-29
2.35
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonMotion-X
Diversity· 2022-09-29
11.4
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonMotion-X
FID· 2022-09-29
3.8
best: 1.174 (HumanTOMATO)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonMotion-X
MModality· 2022-09-29
2.53
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonMotion-X
TMR-Matching Score· 2022-09-29
0.84
best: 0.883 (MLD)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonMotion-X
TMR-R-Precision Top3· 2022-09-29
0.6341
best: 0.703 (HumanTOMATO)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonHumanAct12
Accuracy· 2022-09-29
0.99
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonHumanAct12
FID· 2022-09-29
0.08
best: 0.077 (MLD)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonHumanAct12
Multimodality· 2022-09-29
2.58
best: 2.824 (MLD)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonKIT Motion-Language
FID· 2022-09-29
0.497
best: 0.131 (Motion Anything)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonHumanML3D
R Precision Top3· 2022-09-29
0.611
best: 0.842 (MotionPCM)
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonInterHuman
R-Precision Top3· 2022-09-29
0.339
best: 0.687 (in2IN)
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonKIT Motion-Language
Diversity· 2022-09-29
10.847
best: 11.198 (T2M-GPT (τ = 0))
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonKIT Motion-Language
Multimodality· 2022-09-29
1.907
best: 3.627 (GraphMotion)
Human Motion Diffusion Model arXiv:2209.14916
Motion SynthesisonKIT Motion-Language
R Precision Top3· 2022-09-29
0.396
best: 0.803 (BiPO)
Human Motion Diffusion Model arXiv:2209.14916

Graphs3 results

3D GenerationonE.T. the Exceptional Trajectories
ClaTr-Score· 2022-09-29
18.32
best: 21.95 (DIRECTOR C)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D GenerationonE.T. the Exceptional Trajectories
Classifier-F1· 2022-09-29
0.34
best: 0.48 (DIRECTOR C)
SOTA
Human Motion Diffusion Model arXiv:2209.14916
3D GenerationonE.T. the Exceptional Trajectories
FD_ClaTr· 2022-09-29
6.79
SOTA
Human Motion Diffusion Model arXiv:2209.14916

Methodology1 result

3DonMPI-INF-3DHP
PCK· 2019-04-11
67.9
best: 99.37 (LMT R152 384x384)
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network arXiv:1904.05547