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Models/Mask2Former (Swin-L + FAPN, 640x640)

Mask2Former (Swin-L + FAPN, 640x640)

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

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

Computer Vision3 results

Panoptic SegmentationonADE20K val
mIoU· 2021-12-02
55.4
best: 60.4 (OneFormer (InternImage-H, emb_dim=256, single-scale, 896x896))
SOTA
Masked-attention Mask Transformer for Universal Image Segmentation arXiv:2112.01527
Panoptic SegmentationonADE20K val
AP· 2021-12-02
33.2
best: 40.2 (OneFormer (InternImage-H, emb_dim=256, single-scale, 896x896))
Masked-attention Mask Transformer for Universal Image Segmentation arXiv:2112.01527
Panoptic SegmentationonADE20K val
PQ· 2021-12-02
46.2
best: 54.5 (OneFormer (InternImage-H, emb_dim=256, single-scale, 896x896))
Masked-attention Mask Transformer for Universal Image Segmentation arXiv:2112.01527

Medical3 results

Semantic SegmentationonADE20K val
AP· 2021-12-02
33.2
best: 40.2 (OneFormer (InternImage-H, emb_dim=256, single-scale, 896x896))
Masked-attention Mask Transformer for Universal Image Segmentation arXiv:2112.01527
Semantic SegmentationonADE20K val
PQ· 2021-12-02
46.2
best: 54.5 (OneFormer (InternImage-H, emb_dim=256, single-scale, 896x896))
Masked-attention Mask Transformer for Universal Image Segmentation arXiv:2112.01527
Semantic SegmentationonADE20K val
mIoU· 2021-12-02
55.4
best: 62.8 (BEiT-3)
Masked-attention Mask Transformer for Universal Image Segmentation arXiv:2112.01527

Audio3 results

10-shot image generationonADE20K val
AP· 2021-12-02
33.2
best: 40.2 (OneFormer (InternImage-H, emb_dim=256, single-scale, 896x896))
Masked-attention Mask Transformer for Universal Image Segmentation arXiv:2112.01527
10-shot image generationonADE20K val
PQ· 2021-12-02
46.2
best: 54.5 (OneFormer (InternImage-H, emb_dim=256, single-scale, 896x896))
Masked-attention Mask Transformer for Universal Image Segmentation arXiv:2112.01527
10-shot image generationonADE20K val
mIoU· 2021-12-02
55.4
best: 62.8 (BEiT-3)
Masked-attention Mask Transformer for Universal Image Segmentation arXiv:2112.01527