Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/PSPNet

PSPNet

Reported on 212 benchmarks across 10 tasks · 1 paper · 156 SOTA

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

Methodology121 results

3DonDIS-TE4
HCE· 2016-12-04
3806
best: 3999 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE4
S-Measure· 2016-12-04
0.758
best: 0.91 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-VD
E-measure· 2016-12-04
0.802
best: 0.958 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-VD
HCE· 2016-12-04
1588
best: 1660 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-VD
MAE· 2016-12-04
0.102
best: 0.027 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-VD
weighted F-measure· 2016-12-04
0.603
best: 0.896 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE2
E-measure· 2016-12-04
0.828
best: 0.947 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE2
HCE· 2016-12-04
586
best: 621 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE2
MAE· 2016-12-04
0.092
best: 0.028 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE2
S-Measure· 2016-12-04
0.763
best: 0.924 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE2
max F-Measure· 2016-12-04
0.724
best: 0.921 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE2
weighted F-measure· 2016-12-04
0.636
best: 0.885 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE1
E-measure· 2016-12-04
0.791
best: 0.927 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE1
HCE· 2016-12-04
267
best: 288 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE1
MAE· 2016-12-04
0.089
best: 0.031 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE1
S-Measure· 2016-12-04
0.725
best: 0.899 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE1
max F-Measure· 2016-12-04
0.645
best: 0.89 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE1
weighted F-measure· 2016-12-04
0.557
best: 0.846 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE3
E-measure· 2016-12-04
0.843
best: 0.957 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE3
HCE· 2016-12-04
1111
best: 1146 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE3
MAE· 2016-12-04
0.092
best: 0.027 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE3
S-Measure· 2016-12-04
0.774
best: 0.928 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE3
weighted F-measure· 2016-12-04
0.657
best: 0.9 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE4
HCE· 2016-12-04
3806
best: 3999 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE4
S-Measure· 2016-12-04
0.758
best: 0.91 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-VD
E-measure· 2016-12-04
0.802
best: 0.958 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-VD
HCE· 2016-12-04
1588
best: 1660 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-VD
MAE· 2016-12-04
0.102
best: 0.027 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-VD
weighted F-measure· 2016-12-04
0.603
best: 0.896 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE2
E-measure· 2016-12-04
0.828
best: 0.947 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE2
HCE· 2016-12-04
586
best: 621 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE2
MAE· 2016-12-04
0.092
best: 0.028 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE2
S-Measure· 2016-12-04
0.763
best: 0.924 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE2
max F-Measure· 2016-12-04
0.724
best: 0.921 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE2
weighted F-measure· 2016-12-04
0.636
best: 0.885 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE1
E-measure· 2016-12-04
0.791
best: 0.927 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE1
HCE· 2016-12-04
267
best: 288 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE1
MAE· 2016-12-04
0.089
best: 0.031 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE1
S-Measure· 2016-12-04
0.725
best: 0.899 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE1
max F-Measure· 2016-12-04
0.645
best: 0.89 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE1
weighted F-measure· 2016-12-04
0.557
best: 0.846 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE3
E-measure· 2016-12-04
0.843
best: 0.957 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE3
HCE· 2016-12-04
1111
best: 1146 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE3
MAE· 2016-12-04
0.092
best: 0.027 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE3
S-Measure· 2016-12-04
0.774
best: 0.928 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE3
weighted F-measure· 2016-12-04
0.657
best: 0.9 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE4
HCE· 2016-12-04
3806
best: 3999 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE4
S-Measure· 2016-12-04
0.758
best: 0.91 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-VD
E-measure· 2016-12-04
0.802
best: 0.958 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-VD
HCE· 2016-12-04
1588
best: 1660 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-VD
MAE· 2016-12-04
0.102
best: 0.027 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-VD
weighted F-measure· 2016-12-04
0.603
best: 0.896 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE2
E-measure· 2016-12-04
0.828
best: 0.947 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE2
HCE· 2016-12-04
586
best: 621 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE2
MAE· 2016-12-04
0.092
best: 0.028 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE2
S-Measure· 2016-12-04
0.763
best: 0.924 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE2
max F-Measure· 2016-12-04
0.724
best: 0.921 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE2
weighted F-measure· 2016-12-04
0.636
best: 0.885 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE1
E-measure· 2016-12-04
0.791
best: 0.927 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE1
HCE· 2016-12-04
267
best: 288 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE1
MAE· 2016-12-04
0.089
best: 0.031 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE1
S-Measure· 2016-12-04
0.725
best: 0.899 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE1
max F-Measure· 2016-12-04
0.645
best: 0.89 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE1
weighted F-measure· 2016-12-04
0.557
best: 0.846 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE3
E-measure· 2016-12-04
0.843
best: 0.957 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE3
HCE· 2016-12-04
1111
best: 1146 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE3
MAE· 2016-12-04
0.092
best: 0.027 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE3
S-Measure· 2016-12-04
0.774
best: 0.928 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE3
weighted F-measure· 2016-12-04
0.657
best: 0.9 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononMFN Dataset
mIOU· 2016-12-04
46.1
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE4
HCE· 2016-12-04
3806
best: 3999 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE4
S-Measure· 2016-12-04
0.758
best: 0.91 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-VD
E-measure· 2016-12-04
0.802
best: 0.958 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-VD
HCE· 2016-12-04
1588
best: 1660 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-VD
MAE· 2016-12-04
0.102
best: 0.027 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-VD
weighted F-measure· 2016-12-04
0.603
best: 0.896 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE2
E-measure· 2016-12-04
0.828
best: 0.947 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE2
HCE· 2016-12-04
586
best: 621 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE2
MAE· 2016-12-04
0.092
best: 0.028 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE2
S-Measure· 2016-12-04
0.763
best: 0.924 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE2
max F-Measure· 2016-12-04
0.724
best: 0.921 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE2
weighted F-measure· 2016-12-04
0.636
best: 0.885 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE1
E-measure· 2016-12-04
0.791
best: 0.927 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE1
HCE· 2016-12-04
267
best: 288 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE1
MAE· 2016-12-04
0.089
best: 0.031 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE1
S-Measure· 2016-12-04
0.725
best: 0.899 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE1
max F-Measure· 2016-12-04
0.645
best: 0.89 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE1
weighted F-measure· 2016-12-04
0.557
best: 0.846 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE3
E-measure· 2016-12-04
0.843
best: 0.957 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE3
HCE· 2016-12-04
1111
best: 1146 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE3
MAE· 2016-12-04
0.092
best: 0.027 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE3
S-Measure· 2016-12-04
0.774
best: 0.928 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE3
weighted F-measure· 2016-12-04
0.657
best: 0.9 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE4
E-measure· 2016-12-04
0.815
best: 0.944 (MVANet)
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE4
MAE· 2016-12-04
0.107
best: 0.037 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE4
max F-Measure· 2016-12-04
0.725
best: 0.912 (MVANet)
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE4
weighted F-measure· 2016-12-04
0.63
best: 0.867 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-VD
S-Measure· 2016-12-04
0.744
best: 0.917 (BEN_Base+Refiner)
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-VD
max F-Measure· 2016-12-04
0.691
best: 0.923 (BEN_Base)
Pyramid Scene Parsing Network arXiv:1612.01105
3DonDIS-TE3
max F-Measure· 2016-12-04
0.747
best: 0.936 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE4
E-measure· 2016-12-04
0.815
best: 0.944 (MVANet)
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE4
MAE· 2016-12-04
0.107
best: 0.037 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE4
max F-Measure· 2016-12-04
0.725
best: 0.912 (MVANet)
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE4
weighted F-measure· 2016-12-04
0.63
best: 0.867 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-VD
S-Measure· 2016-12-04
0.744
best: 0.917 (BEN_Base+Refiner)
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-VD
max F-Measure· 2016-12-04
0.691
best: 0.923 (BEN_Base)
Pyramid Scene Parsing Network arXiv:1612.01105
2D ClassificationonDIS-TE3
max F-Measure· 2016-12-04
0.747
best: 0.936 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE4
E-measure· 2016-12-04
0.815
best: 0.944 (MVANet)
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE4
MAE· 2016-12-04
0.107
best: 0.037 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE4
max F-Measure· 2016-12-04
0.725
best: 0.912 (MVANet)
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE4
weighted F-measure· 2016-12-04
0.63
best: 0.867 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-VD
S-Measure· 2016-12-04
0.744
best: 0.917 (BEN_Base+Refiner)
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-VD
max F-Measure· 2016-12-04
0.691
best: 0.923 (BEN_Base)
Pyramid Scene Parsing Network arXiv:1612.01105
2D Object DetectiononDIS-TE3
max F-Measure· 2016-12-04
0.747
best: 0.936 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE4
E-measure· 2016-12-04
0.815
best: 0.944 (MVANet)
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE4
MAE· 2016-12-04
0.107
best: 0.037 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE4
max F-Measure· 2016-12-04
0.725
best: 0.912 (MVANet)
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE4
weighted F-measure· 2016-12-04
0.63
best: 0.867 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-VD
S-Measure· 2016-12-04
0.744
best: 0.917 (BEN_Base+Refiner)
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-VD
max F-Measure· 2016-12-04
0.691
best: 0.923 (BEN_Base)
Pyramid Scene Parsing Network arXiv:1612.01105
16konDIS-TE3
max F-Measure· 2016-12-04
0.747
best: 0.936 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105

Computer Vision61 results

Object DetectiononDIS-TE4
HCE· 2016-12-04
3806
best: 3999 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE4
S-Measure· 2016-12-04
0.758
best: 0.91 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-VD
E-measure· 2016-12-04
0.802
best: 0.958 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-VD
HCE· 2016-12-04
1588
best: 1660 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-VD
MAE· 2016-12-04
0.102
best: 0.027 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-VD
weighted F-measure· 2016-12-04
0.603
best: 0.896 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE2
E-measure· 2016-12-04
0.828
best: 0.947 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE2
HCE· 2016-12-04
586
best: 621 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE2
MAE· 2016-12-04
0.092
best: 0.028 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE2
S-Measure· 2016-12-04
0.763
best: 0.924 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE2
max F-Measure· 2016-12-04
0.724
best: 0.921 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE2
weighted F-measure· 2016-12-04
0.636
best: 0.885 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE1
E-measure· 2016-12-04
0.791
best: 0.927 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE1
HCE· 2016-12-04
267
best: 288 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE1
MAE· 2016-12-04
0.089
best: 0.031 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE1
S-Measure· 2016-12-04
0.725
best: 0.899 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE1
max F-Measure· 2016-12-04
0.645
best: 0.89 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE1
weighted F-measure· 2016-12-04
0.557
best: 0.846 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE3
E-measure· 2016-12-04
0.843
best: 0.957 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE3
HCE· 2016-12-04
1111
best: 1146 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE3
MAE· 2016-12-04
0.092
best: 0.027 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE3
S-Measure· 2016-12-04
0.774
best: 0.928 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE3
weighted F-measure· 2016-12-04
0.657
best: 0.9 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE4
HCE· 2016-12-04
3806
best: 3999 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE4
S-Measure· 2016-12-04
0.758
best: 0.91 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-VD
E-measure· 2016-12-04
0.802
best: 0.958 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-VD
HCE· 2016-12-04
1588
best: 1660 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-VD
MAE· 2016-12-04
0.102
best: 0.027 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-VD
weighted F-measure· 2016-12-04
0.603
best: 0.896 (BEN_Base+Refiner)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE2
E-measure· 2016-12-04
0.828
best: 0.947 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE2
HCE· 2016-12-04
586
best: 621 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE2
MAE· 2016-12-04
0.092
best: 0.028 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE2
S-Measure· 2016-12-04
0.763
best: 0.924 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE2
max F-Measure· 2016-12-04
0.724
best: 0.921 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE2
weighted F-measure· 2016-12-04
0.636
best: 0.885 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE1
E-measure· 2016-12-04
0.791
best: 0.927 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE1
HCE· 2016-12-04
267
best: 288 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE1
MAE· 2016-12-04
0.089
best: 0.031 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE1
S-Measure· 2016-12-04
0.725
best: 0.899 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE1
max F-Measure· 2016-12-04
0.645
best: 0.89 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE1
weighted F-measure· 2016-12-04
0.557
best: 0.846 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE3
E-measure· 2016-12-04
0.843
best: 0.957 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE3
HCE· 2016-12-04
1111
best: 1146 (BSV1)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE3
MAE· 2016-12-04
0.092
best: 0.027 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE3
S-Measure· 2016-12-04
0.774
best: 0.928 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE3
weighted F-measure· 2016-12-04
0.657
best: 0.9 (PDFNet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Scene SegmentationonMFN Dataset
mIOU· 2016-12-04
46.1
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE4
E-measure· 2016-12-04
0.815
best: 0.944 (MVANet)
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE4
MAE· 2016-12-04
0.107
best: 0.037 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE4
max F-Measure· 2016-12-04
0.725
best: 0.912 (MVANet)
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE4
weighted F-measure· 2016-12-04
0.63
best: 0.867 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-VD
S-Measure· 2016-12-04
0.744
best: 0.917 (BEN_Base+Refiner)
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-VD
max F-Measure· 2016-12-04
0.691
best: 0.923 (BEN_Base)
Pyramid Scene Parsing Network arXiv:1612.01105
Object DetectiononDIS-TE3
max F-Measure· 2016-12-04
0.747
best: 0.936 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE4
E-measure· 2016-12-04
0.815
best: 0.944 (MVANet)
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE4
MAE· 2016-12-04
0.107
best: 0.037 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE4
max F-Measure· 2016-12-04
0.725
best: 0.912 (MVANet)
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE4
weighted F-measure· 2016-12-04
0.63
best: 0.867 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-VD
S-Measure· 2016-12-04
0.744
best: 0.917 (BEN_Base+Refiner)
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-VD
max F-Measure· 2016-12-04
0.691
best: 0.923 (BEN_Base)
Pyramid Scene Parsing Network arXiv:1612.01105
RGB Salient Object DetectiononDIS-TE3
max F-Measure· 2016-12-04
0.747
best: 0.936 (PDFNet)
Pyramid Scene Parsing Network arXiv:1612.01105

Medical17 results

Semantic SegmentationonBDD100K val
mIoU· 2016-12-04
62.3
best: 72.5 (VLTSeg)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Semantic Segmentationon Potsdam
mIoU· 2016-12-04
82.98
best: 86.39 (LMFNet-3)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Semantic SegmentationonVaihingen
mIoU· 2016-12-04
76.79
best: 82.87 (CMX)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Semantic SegmentationonTrans10K
GFLOPs· 2016-12-04
187.03
best: 198 (DANet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Semantic SegmentationonADE20K
Test Score· 2016-12-04
55.38
best: 62.8 (Swin-L (UperNet, ImageNet-22k pretrain))
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Semantic SegmentationonADE20K
Validation mIoU· 2016-12-04
44.94
best: 63.6 (ViT-P (InternImage-H))
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Semantic SegmentationonMFN Dataset
mIOU· 2016-12-04
46.1
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Semantic SegmentationonCamVid
Frame (fps)· 2016-12-04
5.4
best: 222.3 (PP-LiteSeg-T)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
Dice· 2016-12-04
0.3571
best: 0.5349 (D-UNet)
Pyramid Scene Parsing Network arXiv:1612.01105
Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
IoU· 2016-12-04
0.254
best: 0.3559 (2D Dense-UNet)
Pyramid Scene Parsing Network arXiv:1612.01105
Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
Precision· 2016-12-04
0.4769
best: 0.6331 (D-UNet)
Pyramid Scene Parsing Network arXiv:1612.01105
Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
Recall· 2016-12-04
0.3335
best: 0.5243 (D-UNet)
Pyramid Scene Parsing Network arXiv:1612.01105
Semantic SegmentationonFine-Grained Grass Segmentation Dataset
mIoU· 2016-12-04
47.95
best: 51.96 (D2LS)
Pyramid Scene Parsing Network arXiv:1612.01105
Semantic SegmentationonSELMA
mIoU· 2016-12-04
68.4
best: 91.7 (CMX)
Pyramid Scene Parsing Network arXiv:1612.01105
Semantic SegmentationonUrbanLF
mIoU (Real)· 2016-12-04
76.34
best: 83.22 (CMNeXt (RGB-LF8))
Pyramid Scene Parsing Network arXiv:1612.01105
Semantic SegmentationonUrbanLF
mIoU (Syn)· 2016-12-04
75.78
best: 81.02 (CMNeXt (RGB-LF80))
Pyramid Scene Parsing Network arXiv:1612.01105
Semantic SegmentationonCamVid
Time (ms)· 2016-12-04
185
best: 227 (Dilation10)
Pyramid Scene Parsing Network arXiv:1612.01105

Audio13 results

10-shot image generationonBDD100K val
mIoU· 2016-12-04
62.3
best: 72.5 (VLTSeg)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
10-shot image generationon Potsdam
mIoU· 2016-12-04
82.98
best: 86.39 (LMFNet-3)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
10-shot image generationonVaihingen
mIoU· 2016-12-04
76.79
best: 82.87 (CMX)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
10-shot image generationonTrans10K
GFLOPs· 2016-12-04
187.03
best: 198 (DANet)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
10-shot image generationonADE20K
Test Score· 2016-12-04
55.38
best: 62.8 (Swin-L (UperNet, ImageNet-22k pretrain))
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
10-shot image generationonADE20K
Validation mIoU· 2016-12-04
44.94
best: 63.6 (ViT-P (InternImage-H))
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
10-shot image generationonMFN Dataset
mIOU· 2016-12-04
46.1
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
10-shot image generationonCamVid
Frame (fps)· 2016-12-04
5.4
best: 222.3 (PP-LiteSeg-T)
SOTA
Pyramid Scene Parsing Network arXiv:1612.01105
10-shot image generationonFine-Grained Grass Segmentation Dataset
mIoU· 2016-12-04
47.95
best: 51.96 (D2LS)
Pyramid Scene Parsing Network arXiv:1612.01105
10-shot image generationonSELMA
mIoU· 2016-12-04
68.4
best: 91.7 (CMX)
Pyramid Scene Parsing Network arXiv:1612.01105
10-shot image generationonUrbanLF
mIoU (Real)· 2016-12-04
76.34
best: 83.22 (CMNeXt (RGB-LF8))
Pyramid Scene Parsing Network arXiv:1612.01105
10-shot image generationonUrbanLF
mIoU (Syn)· 2016-12-04
75.78
best: 81.02 (CMNeXt (RGB-LF80))
Pyramid Scene Parsing Network arXiv:1612.01105
10-shot image generationonCamVid
Time (ms)· 2016-12-04
185
best: 227 (Dilation10)
Pyramid Scene Parsing Network arXiv:1612.01105