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Models/ResNeSt-200

ResNeSt-200

Reported on 8 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Medical4 results

Semantic SegmentationonADE20K val
mIoU· 2020-04-19
48.36
best: 62.8 (BEiT-3)
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955
Semantic SegmentationonADE20K
Validation mIoU· 2020-04-19
48.36
best: 63.6 (ViT-P (InternImage-H))
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955
Semantic SegmentationonCityscapes val
mIoU· 2020-04-19
82.7
best: 90.3 (EfficientPS (Cityscapes-fine))
ResNeSt: Split-Attention Networks arXiv:2004.08955
Semantic SegmentationonPASCAL Context
mIoU· 2020-04-19
58.4
best: 71.1 (VPNeXt)
ResNeSt: Split-Attention Networks arXiv:2004.08955

Audio4 results

10-shot image generationonADE20K val
mIoU· 2020-04-19
48.36
best: 62.8 (BEiT-3)
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955
10-shot image generationonADE20K
Validation mIoU· 2020-04-19
48.36
best: 63.6 (ViT-P (InternImage-H))
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955
10-shot image generationonCityscapes val
mIoU· 2020-04-19
82.7
best: 90.3 (EfficientPS (Cityscapes-fine))
ResNeSt: Split-Attention Networks arXiv:2004.08955
10-shot image generationonPASCAL Context
mIoU· 2020-04-19
58.4
best: 71.1 (VPNeXt)
ResNeSt: Split-Attention Networks arXiv:2004.08955