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Models/ResNet-152

ResNet-152

Reported on 23 benchmarks across 12 tasks · 4 papers · 15 SOTA

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

Computer Vision11 results

  • Pose EstimationonOCHuman
    Test AP· 2018-04-17
    33.3
    best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
    SOTA
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • Pose EstimationonOCHuman
    Validation AP· 2018-04-17
    41
    best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
    SOTA
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • Image ClassificationonImageNet
    GFLOPs· 2015-12-10
    11.3
    best: 1478 (InternImage-H)
    SOTA
    Deep Residual Learning for Image RecognitionarXiv:1512.03385
  • Domain GeneralizationonVizWiz-Classification
    Accuracy - All Images· 2015-12-10
    47.5
    best: 57.2 (VOLO-D5)
    SOTA
    Deep Residual Learning for Image RecognitionarXiv:1512.03385
  • Domain GeneralizationonVizWiz-Classification
    Accuracy - Clean Images· 2015-12-10
    51.3
    best: 450 (ViT-8/B-224)
    SOTA
    Deep Residual Learning for Image RecognitionarXiv:1512.03385
  • Domain GeneralizationonVizWiz-Classification
    Accuracy - Corrupted Images· 2015-12-10
    43.3
    best: 51.8 (VOLO-D5)
    SOTA
    Deep Residual Learning for Image RecognitionarXiv:1512.03385
  • Image ClassificationonObjectNet (Bounding Box)
    Top 5 Accuracy· uses extra data· 2020-04-04
    61.5
    best: 85.1 (BiT-L (ResNet))
    ObjectNet Dataset: Reanalysis and CorrectionarXiv:2004.02042
  • Pose EstimationonOCHuman
    Test AP· 2018-04-17
    33.3
    best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • Pose EstimationonOCHuman
    Validation AP· 2018-04-17
    41
    best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • Image ClassificationonObjectNet
    Top-1 Accuracy· uses extra data
    29.59
    best: 82.7 (CoCa)
  • Image ClassificationonObjectNet
    Top-5 Accuracy· uses extra data
    49.4
    best: 82.1 (ViT-H/14)

Methodology8 results

  • 3DonOCHuman
    Test AP· 2018-04-17
    33.3
    best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
    SOTA
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • 3DonOCHuman
    Validation AP· 2018-04-17
    41
    best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
    SOTA
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • Domain AdaptationonVizWiz-Classification
    Accuracy - All Images· 2015-12-10
    47.5
    best: 57.2 (VOLO-D5)
    SOTA
    Deep Residual Learning for Image RecognitionarXiv:1512.03385
  • Domain AdaptationonVizWiz-Classification
    Accuracy - Clean Images· 2015-12-10
    51.3
    best: 450 (ViT-8/B-224)
    SOTA
    Deep Residual Learning for Image RecognitionarXiv:1512.03385
  • Domain AdaptationonVizWiz-Classification
    Accuracy - Corrupted Images· 2015-12-10
    43.3
    best: 51.8 (VOLO-D5)
    SOTA
    Deep Residual Learning for Image RecognitionarXiv:1512.03385
  • 3DonOCHuman
    Test AP· 2018-04-17
    33.3
    best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • 3DonOCHuman
    Validation AP· 2018-04-17
    41
    best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • ClassificationonIDRiD
    Accuracy (% )
    86.56

Audio4 results

  • 1 Image, 2*2 StitchionOCHuman
    Test AP· 2018-04-17
    33.3
    best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
    SOTA
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • 1 Image, 2*2 StitchionOCHuman
    Validation AP· 2018-04-17
    41
    best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
    SOTA
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • 1 Image, 2*2 StitchionOCHuman
    Test AP· 2018-04-17
    33.3
    best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • 1 Image, 2*2 StitchionOCHuman
    Validation AP· 2018-04-17
    41
    best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208

Knowledge Base3 results

  • 2D Human Pose EstimationonOCHuman
    Test AP· 2018-04-17
    33.3
    best: 48.3 (BBox-Mask-Pose 2x)
    SOTA
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • 2D Human Pose EstimationonOCHuman
    Validation AP· 2018-04-17
    41
    best: 48.6 (BBox-Mask-Pose 2x)
    SOTA
    Simple Baselines for Human Pose Estimation and TrackingarXiv:1804.06208
  • Breast Cancer Histology Image ClassificationonICIAR 2018 Grand Challenge on Breast Cancer Histology Images
    Accuracy (% )
    83

Medical2 results

  • CanceronICIAR 2018 Grand Challenge on Breast Cancer Histology Images
    Accuracy (% )
    83
  • Medical Image ClassificationonIDRiD
    Accuracy (% )
    86.56

Adversarial1 result

  • Adversarial DefenseonImageNet (targeted PGD, max perturbation=16)
    Accuracy· 2018-12-09
    39
    best: 42.8 (ResNet-152 Denoise)
    Feature Denoising for Improving Adversarial RobustnessarXiv:1812.03411