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SotA/Medical/Semantic Segmentation/PASCAL Context-59

Semantic Segmentation on PASCAL Context-59

Metric: mIoU (higher is better)

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#Model↕mIoU▼Extra DataPaperDate↕Code
1CorrCLIP50.8NoCorrCLIP: Reconstructing Correlations in CLIP wi...2024-11-15Code
2TextRegion46.1NoTextRegion: Text-Aligned Region Tokens from Froz...2025-05-29Code
3Trident44.3NoHarnessing Vision Foundation Models for High-Per...2024-11-14Code
4ProxyCLIP39.6NoProxyCLIP: Proxy Attention Improves CLIP for Ope...2024-08-09Code
5TagAlign37.6NoTagAlign: Improving Vision-Language Alignment wi...2023-12-21Code
6TTD (TCL)37.4NoTTD: Text-Tag Self-Distillation Enhancing Image-...2024-03-30Code
7TCL33.9NoLearning to Generate Text-grounded Mask for Open...2022-12-01Code
8COSMOS ViT-B/1633.7NoCOSMOS: Cross-Modality Self-Distillation for Vis...2024-12-02Code
9TTD (MaskCLIP)31NoTTD: Text-Tag Self-Distillation Enhancing Image-...2024-03-30Code
10MaskCLIP26.4NoExtract Free Dense Labels from CLIP2021-12-02Code
11GroupViT (RedCaps)23.4NoGroupViT: Semantic Segmentation Emerges from Tex...2022-02-22Code
12ReCo22.3NoReCo: Retrieve and Co-segment for Zero-shot Tran...2022-06-14Code