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Models/ResNet

ResNet

Reported on 20 benchmarks across 7 tasks · 3 papers · 18 SOTA

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

Computer Vision11 results

3D Human Pose EstimationonCHALL H80K
MPJPE· 2018-09-17
55.3
SOTA
An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge arXiv:1809.06079
Pose EstimationonCHALL H80K
MPJPE· 2018-09-17
55.3
SOTA
An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge arXiv:1809.06079
Pedestrian Attribute RecognitiononUAV-Human
Backpack· 2015-12-10
63.5
best: 63.9 (DenseNet)
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Pedestrian Attribute RecognitiononUAV-Human
Gender· 2015-12-10
74.7
best: 75 (DenseNet)
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Pedestrian Attribute RecognitiononUAV-Human
Hat· 2015-12-10
65.2
best: 67.2 (DenseNet)
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Pedestrian Attribute RecognitiononUAV-Human
LCC· 2015-12-10
49.7
best: 54.6 (DenseNet)
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Pedestrian Attribute RecognitiononUAV-Human
LCS· 2015-12-10
69.3
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Pedestrian Attribute RecognitiononUAV-Human
UCC· 2015-12-10
44.4
best: 49.8 (DenseNet)
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Pedestrian Attribute RecognitiononUAV-Human
UCS· 2015-12-10
68.9
best: 73 (DenseNet)
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Image ClassificationonCIFAR-10
Percentage correct· 2021-05-10
92.3
best: 99.5 (ViT-H/14)
A Bregman Learning Framework for Sparse Neural Networks arXiv:2105.04319
Image ClassificationonDeep PCB
Accuracy (%)
97.5

Robots7 results

Autonomous VehiclesonUAV-Human
Backpack· 2015-12-10
63.5
best: 63.9 (DenseNet)
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Autonomous VehiclesonUAV-Human
Gender· 2015-12-10
74.7
best: 75 (DenseNet)
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Autonomous VehiclesonUAV-Human
Hat· 2015-12-10
65.2
best: 67.2 (DenseNet)
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Autonomous VehiclesonUAV-Human
LCC· 2015-12-10
49.7
best: 54.6 (DenseNet)
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Autonomous VehiclesonUAV-Human
LCS· 2015-12-10
69.3
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Autonomous VehiclesonUAV-Human
UCC· 2015-12-10
44.4
best: 49.8 (DenseNet)
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385
Autonomous VehiclesonUAV-Human
UCS· 2015-12-10
68.9
best: 73 (DenseNet)
SOTA
Deep Residual Learning for Image Recognition arXiv:1512.03385

Methodology1 result

3DonCHALL H80K
MPJPE· 2018-09-17
55.3
SOTA
An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge arXiv:1809.06079

Audio1 result

1 Image, 2*2 StitchionCHALL H80K
MPJPE· 2018-09-17
55.3
SOTA
An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge arXiv:1809.06079