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SotA/Medical/Semantic Segmentation/COCO (Common Objects in Context)

Semantic Segmentation on COCO (Common Objects in Context)

Metric: mIoU (higher is better)

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#Model↕mIoU▼Extra DataPaperDate↕Code
1HyperSeg77.2YesHyperSeg: Towards Universal Visual Segmentation ...2024-11-26Code
2ViT-P (OneFormer, InternImage-H)69.1NoThe Missing Point in Vision Transformers for Uni...2025-05-26Code
3OneFormer (InternImage-H, emb_dim=1024, single-scale)68.8NoOneFormer: One Transformer to Rule Universal Ima...2022-11-10Code
4ViT-P (OneFormer, DiNAT-L)68.8NoThe Missing Point in Vision Transformers for Uni...2025-05-26Code
5OneFormer (DiNAT-L, single-scale)68.1NoOneFormer: One Transformer to Rule Universal Ima...2022-11-10Code
6OneFormer (Swin-L, single-scale)67.4NoOneFormer: One Transformer to Rule Universal Ima...2022-11-10Code
7Mask2Former (Swin-L, single-scale)67.4NoMasked-attention Mask Transformer for Universal ...2021-12-02Code
8MaskFormer (Swin-L, single-scale)64.8NoMasked-attention Mask Transformer for Universal ...2021-12-02Code
9SegCLIP26.5NoSegCLIP: Patch Aggregation with Learnable Center...2022-11-27Code