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Models/PanopticFPN+ResNeSt(single-scale)

PanopticFPN+ResNeSt(single-scale)

Reported on 9 benchmarks across 3 tasks · 1 paper · 9 SOTA

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

Medical3 results

Semantic SegmentationonCOCO minival
PQ· 2020-04-19
47.9
best: 61.2 (HyperSeg (Swin-B))
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955
Semantic SegmentationonCOCO minival
PQst· 2020-04-19
37
best: 49.2 (OneFormer (InternImage-H,single-scale))
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955
Semantic SegmentationonCOCO minival
PQth· 2020-04-19
55.1
best: 67.1 (OneFormer (InternImage-H,single-scale))
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955

Audio3 results

10-shot image generationonCOCO minival
PQ· 2020-04-19
47.9
best: 61.2 (HyperSeg (Swin-B))
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955
10-shot image generationonCOCO minival
PQst· 2020-04-19
37
best: 49.2 (OneFormer (InternImage-H,single-scale))
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955
10-shot image generationonCOCO minival
PQth· 2020-04-19
55.1
best: 67.1 (OneFormer (InternImage-H,single-scale))
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955

Computer Vision3 results

Panoptic SegmentationonCOCO minival
PQ· 2020-04-19
47.9
best: 61.2 (HyperSeg (Swin-B))
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955
Panoptic SegmentationonCOCO minival
PQst· 2020-04-19
37
best: 49.2 (OneFormer (InternImage-H,single-scale))
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955
Panoptic SegmentationonCOCO minival
PQth· 2020-04-19
55.1
best: 67.1 (OneFormer (InternImage-H,single-scale))
SOTA
ResNeSt: Split-Attention Networks arXiv:2004.08955