ResNeSt-269

Reported on 6 benchmarks across 2 tasks · 1 paper

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

Medical3 results

Semantic SegmentationonADE20K val
mIoU· 2020-04-19
47.6
best: 62.8 (BEiT-3)
ResNeSt: Split-Attention Networks arXiv:2004.08955
Semantic SegmentationonPASCAL Context
mIoU· 2020-04-19
58.9
best: 71.1 (VPNeXt)
ResNeSt: Split-Attention Networks arXiv:2004.08955
Semantic SegmentationonADE20K
Validation mIoU· 2020-04-19
47.6
best: 63.6 (ViT-P (InternImage-H))
ResNeSt: Split-Attention Networks arXiv:2004.08955

Audio3 results

10-shot image generationonADE20K val
mIoU· 2020-04-19
47.6
best: 62.8 (BEiT-3)
ResNeSt: Split-Attention Networks arXiv:2004.08955
10-shot image generationonPASCAL Context
mIoU· 2020-04-19
58.9
best: 71.1 (VPNeXt)
ResNeSt: Split-Attention Networks arXiv:2004.08955
10-shot image generationonADE20K
Validation mIoU· 2020-04-19
47.6
best: 63.6 (ViT-P (InternImage-H))
ResNeSt: Split-Attention Networks arXiv:2004.08955