Mask Classification on ADE20K 847
0.592Mask AccuracyWOW-Seg
Evaluation Results
| Method | Links | |
|---|---|---|
| WOW-SegTraining Type=Finetuned2026.05 | 0.592 | |
| MaskCLIP++Architecture=ViT-L/14, Input Resolution=392 (short side), Training Protocol=Finetuned on COCO2024.12 | 0.384 | |
| MaskCLIP++Training Type=Finetuned2026.05 | 0.384 | |
| EVA02 CLIPArchitecture=ViT-L/14, Input Resolution=392 (short side), Training Protocol=Pretrained2024.12 | 0.352 | |
| EVA02 CLIPTraining Type=Pretrained2026.05 | 0.352 | |
| CLIPSelfArchitecture=ViT-L/14, Input Resolution=392 (short side), Training Protocol=Finetuned on COCO2024.12 | 0.336 | |
| CLIPSelfTraining Type=Finetuned2026.05 | 0.336 | |
| CAT-SegArchitecture=ViT-L/14, Input Resolution=392 (short side), Training Protocol=Finetuned on COCO2024.12 | 0.335 | |
| CAT-SegTraining Type=Finetuned2026.05 | 0.335 | |
| OpenAI CLIPArchitecture=ViT-L/14, Input Resolution=392 (short side), Training Protocol=Pretrained2024.12 | 0.32 | |
| OpenAI CLIPTraining Type=Pretrained2026.05 | 0.32 |