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Models/OneFormer (DiNAT-L, single-scale, 1280x1280, COCO-Pretrain)

OneFormer (DiNAT-L, single-scale, 1280x1280, COCO-Pretrain)

Reported on 6 benchmarks across 3 tasks · 1 paper

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

Medical2 results

Semantic SegmentationonADE20K val
PQ· uses extra data· 2022-11-10
53.4
best: 54.5 (OneFormer (InternImage-H, emb_dim=256, single-scale, 896x896))
OneFormer: One Transformer to Rule Universal Image Segmentation arXiv:2211.06220
Semantic SegmentationonADE20K val
mIoU· uses extra data· 2022-11-10
58.9
best: 62.8 (BEiT-3)
OneFormer: One Transformer to Rule Universal Image Segmentation arXiv:2211.06220

Audio2 results

10-shot image generationonADE20K val
PQ· uses extra data· 2022-11-10
53.4
best: 54.5 (OneFormer (InternImage-H, emb_dim=256, single-scale, 896x896))
OneFormer: One Transformer to Rule Universal Image Segmentation arXiv:2211.06220
10-shot image generationonADE20K val
mIoU· uses extra data· 2022-11-10
58.9
best: 62.8 (BEiT-3)
OneFormer: One Transformer to Rule Universal Image Segmentation arXiv:2211.06220

Computer Vision2 results

Panoptic SegmentationonADE20K val
PQ· uses extra data· 2022-11-10
53.4
best: 54.5 (OneFormer (InternImage-H, emb_dim=256, single-scale, 896x896))
OneFormer: One Transformer to Rule Universal Image Segmentation arXiv:2211.06220
Panoptic SegmentationonADE20K val
mIoU· uses extra data· 2022-11-10
58.9
best: 60.4 (OneFormer (InternImage-H, emb_dim=256, single-scale, 896x896))
OneFormer: One Transformer to Rule Universal Image Segmentation arXiv:2211.06220