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Models/Lee et al.

Lee et al.

Reported on 65 benchmarks across 9 tasks · 3 papers · 63 SOTA

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

Computer Vision48 results

Depth EstimationonCityscapes
Absolute relative error (AbsRel)· 2021-02-04
0.111
best: 0.089 (SwinMTL)
SOTA
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency arXiv:2102.02629
Depth EstimationonCityscapes
RMSE· 2021-02-04
6.437
best: 5.481 (SwinMTL)
SOTA
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency arXiv:2102.02629
Depth EstimationonCityscapes
RMSE log· 2021-02-04
0.182
best: 0.139 (SwinMTL)
SOTA
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency arXiv:2102.02629
Depth EstimationonCityscapes
Square relative error (SqRel)· 2021-02-04
1.158
best: 0.792 (Manydepth2)
SOTA
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency arXiv:2102.02629
VideoonTHUMOS 2014
mAP@0.1:0.5· 2020-06-12
51.6
best: 71.6 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
VideoonTHUMOS 2014
mAP@0.1:0.7· 2020-06-12
41.9
best: 60.3 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
VideoonTHUMOS 2014
mAP@0.5· 2020-06-12
33.7
best: 52.2 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
VideoonTHUMOS14
avg-mAP (0.1-0.5)· 2020-06-12
51.6
best: 71.6 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
VideoonTHUMOS14
avg-mAP (0.1:0.7)· 2020-06-12
41.9
best: 60.3 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
VideoonTHUMOS14
avg-mAP (0.3-0.7)· 2020-06-12
32.9
best: 51.1 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
VideoonTHUMOS’14
mAP@0.5· 2020-06-12
33.7
best: 45.3 (LACP)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
VideoonActivityNet-1.3
mAP@0.5· 2020-06-12
37
best: 45.1 (PivoTAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
VideoonActivityNet-1.3
mAP@0.5:0.95· 2020-06-12
23.7
best: 28.8 (SAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
VideoonActivityNet-1.2
Mean mAP· 2020-06-12
25.9
best: 30.8 (SAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
VideoonActivityNet-1.2
mAP@0.5· 2020-06-12
41.2
best: 49.6 (AICL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Temporal Action LocalizationonTHUMOS 2014
mAP@0.1:0.5· 2020-06-12
51.6
best: 71.6 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Temporal Action LocalizationonTHUMOS 2014
mAP@0.1:0.7· 2020-06-12
41.9
best: 60.3 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Temporal Action LocalizationonTHUMOS 2014
mAP@0.5· 2020-06-12
33.7
best: 52.2 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Temporal Action LocalizationonTHUMOS14
avg-mAP (0.1-0.5)· 2020-06-12
51.6
best: 71.6 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Temporal Action LocalizationonTHUMOS14
avg-mAP (0.1:0.7)· 2020-06-12
41.9
best: 60.3 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Temporal Action LocalizationonTHUMOS14
avg-mAP (0.3-0.7)· 2020-06-12
32.9
best: 51.1 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Temporal Action LocalizationonTHUMOS’14
mAP@0.5· 2020-06-12
33.7
best: 45.3 (LACP)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Temporal Action LocalizationonActivityNet-1.3
mAP@0.5· 2020-06-12
37
best: 45.1 (PivoTAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Temporal Action LocalizationonActivityNet-1.3
mAP@0.5:0.95· 2020-06-12
23.7
best: 28.8 (SAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Temporal Action LocalizationonActivityNet-1.2
Mean mAP· 2020-06-12
25.9
best: 30.8 (SAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Temporal Action LocalizationonActivityNet-1.2
mAP@0.5· 2020-06-12
41.2
best: 49.6 (AICL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Action LocalizationonTHUMOS 2014
mAP@0.1:0.5· 2020-06-12
51.6
best: 71.6 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Action LocalizationonTHUMOS 2014
mAP@0.1:0.7· 2020-06-12
41.9
best: 60.3 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Action LocalizationonTHUMOS 2014
mAP@0.5· 2020-06-12
33.7
best: 52.2 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Action LocalizationonTHUMOS14
avg-mAP (0.1-0.5)· 2020-06-12
51.6
best: 71.6 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Action LocalizationonTHUMOS14
avg-mAP (0.1:0.7)· 2020-06-12
41.9
best: 60.3 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Action LocalizationonTHUMOS14
avg-mAP (0.3-0.7)· 2020-06-12
32.9
best: 51.1 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Action LocalizationonTHUMOS’14
mAP@0.5· 2020-06-12
33.7
best: 45.3 (LACP)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Action LocalizationonActivityNet-1.3
mAP@0.5· 2020-06-12
37
best: 45.1 (PivoTAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Action LocalizationonActivityNet-1.3
mAP@0.5:0.95· 2020-06-12
23.7
best: 28.8 (SAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Action LocalizationonActivityNet-1.2
Mean mAP· 2020-06-12
25.9
best: 30.8 (SAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Action LocalizationonActivityNet-1.2
mAP@0.5· 2020-06-12
41.2
best: 49.6 (AICL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Weakly Supervised Action LocalizationonTHUMOS 2014
mAP@0.1:0.5· 2020-06-12
51.6
best: 71.6 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Weakly Supervised Action LocalizationonTHUMOS 2014
mAP@0.1:0.7· 2020-06-12
41.9
best: 60.3 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Weakly Supervised Action LocalizationonTHUMOS 2014
mAP@0.5· 2020-06-12
33.7
best: 52.2 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Weakly Supervised Action LocalizationonTHUMOS14
avg-mAP (0.1-0.5)· 2020-06-12
51.6
best: 71.6 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Weakly Supervised Action LocalizationonTHUMOS14
avg-mAP (0.1:0.7)· 2020-06-12
41.9
best: 60.3 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Weakly Supervised Action LocalizationonTHUMOS14
avg-mAP (0.3-0.7)· 2020-06-12
32.9
best: 51.1 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Weakly Supervised Action LocalizationonTHUMOS’14
mAP@0.5· 2020-06-12
33.7
best: 45.3 (LACP)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Weakly Supervised Action LocalizationonActivityNet-1.3
mAP@0.5· 2020-06-12
37
best: 45.1 (PivoTAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Weakly Supervised Action LocalizationonActivityNet-1.3
mAP@0.5:0.95· 2020-06-12
23.7
best: 28.8 (SAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Weakly Supervised Action LocalizationonActivityNet-1.2
Mean mAP· 2020-06-12
25.9
best: 30.8 (SAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Weakly Supervised Action LocalizationonActivityNet-1.2
mAP@0.5· 2020-06-12
41.2
best: 49.6 (AICL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006

Methodology15 results

3DonCityscapes
Absolute relative error (AbsRel)· 2021-02-04
0.111
best: 0.089 (SwinMTL)
SOTA
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency arXiv:2102.02629
3DonCityscapes
RMSE· 2021-02-04
6.437
best: 5.481 (SwinMTL)
SOTA
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency arXiv:2102.02629
3DonCityscapes
RMSE log· 2021-02-04
0.182
best: 0.139 (SwinMTL)
SOTA
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency arXiv:2102.02629
3DonCityscapes
Square relative error (SqRel)· 2021-02-04
1.158
best: 0.792 (Manydepth2)
SOTA
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency arXiv:2102.02629
Zero-Shot LearningonTHUMOS 2014
mAP@0.1:0.5· 2020-06-12
51.6
best: 71.6 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Zero-Shot LearningonTHUMOS 2014
mAP@0.1:0.7· 2020-06-12
41.9
best: 60.3 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Zero-Shot LearningonTHUMOS 2014
mAP@0.5· 2020-06-12
33.7
best: 52.2 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Zero-Shot LearningonTHUMOS14
avg-mAP (0.1-0.5)· 2020-06-12
51.6
best: 71.6 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Zero-Shot LearningonTHUMOS14
avg-mAP (0.1:0.7)· 2020-06-12
41.9
best: 60.3 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Zero-Shot LearningonTHUMOS14
avg-mAP (0.3-0.7)· 2020-06-12
32.9
best: 51.1 (HR-Pro)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Zero-Shot LearningonTHUMOS’14
mAP@0.5· 2020-06-12
33.7
best: 45.3 (LACP)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Zero-Shot LearningonActivityNet-1.3
mAP@0.5· 2020-06-12
37
best: 45.1 (PivoTAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Zero-Shot LearningonActivityNet-1.3
mAP@0.5:0.95· 2020-06-12
23.7
best: 28.8 (SAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Zero-Shot LearningonActivityNet-1.2
Mean mAP· 2020-06-12
25.9
best: 30.8 (SAL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006
Zero-Shot LearningonActivityNet-1.2
mAP@0.5· 2020-06-12
41.2
best: 49.6 (AICL)
SOTA
Weakly-supervised Temporal Action Localization by Uncertainty Modeling arXiv:2006.07006

Medical4 results

Disease PredictiononSrinivasan2014
Acc· 2019-10-13
87.63
best: 100 (OpticNet-71)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672
Disease PredictiononSrinivasan2014
Acc· 2019-10-13
87.63
best: 100 (OpticNet-71)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672
Medical DiagnosisonSrinivasan2014
Acc· 2019-10-13
87.63
best: 100 (OpticNet-71)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672
Medical DiagnosisonSrinivasan2014
Acc· 2019-10-13
87.63
best: 100 (OpticNet-71)
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images arXiv:1910.05672