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Models/ResNet101

ResNet101

Reported on 8 benchmarks across 6 tasks · 3 papers · 4 SOTA

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

Computer Vision7 results

Multi-Label Image ClassificationonVOC2007
MAP· 2021-08-05
96.8
SOTA
Residual Attention: A Simple but Effective Method for Multi-Label Recognition arXiv:2108.02456
Image ClassificationonVOC2007
MAP· 2021-08-05
96.8
SOTA
Residual Attention: A Simple but Effective Method for Multi-Label Recognition arXiv:2108.02456
Human Part SegmentationonCIHP
Mean IoU· 2019-10-22
67.47
best: 72.68 (Hulk(Finetune, ViT-L))
SOTA
Self-Correction for Human Parsing arXiv:1910.09777
SketchonIm4Sketch
Accuracy· 2022-02-26
5.3
best: 11.3 (rBTE (ResNet101))
Edge Augmentation for Large-Scale Sketch Recognition without Sketches arXiv:2202.13164
SketchonSketchy
Accuracy· 2022-02-26
11.4
best: 57.2 (rBTE (ResNet101))
Edge Augmentation for Large-Scale Sketch Recognition without Sketches arXiv:2202.13164
Sketch RecognitiononIm4Sketch
Accuracy· 2022-02-26
5.3
best: 11.3 (rBTE (ResNet101))
Edge Augmentation for Large-Scale Sketch Recognition without Sketches arXiv:2202.13164
Sketch RecognitiononSketchy
Accuracy· 2022-02-26
11.4
best: 57.2 (rBTE (ResNet101))
Edge Augmentation for Large-Scale Sketch Recognition without Sketches arXiv:2202.13164

Audio1 result

2D Semantic SegmentationonCIHP
Mean IoU· 2019-10-22
67.47
best: 72.68 (Hulk(Finetune, ViT-L))
SOTA
Self-Correction for Human Parsing arXiv:1910.09777