Zero Shot Segmentation On Ade20K Training
Métriques
mIoU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | mIoU | Paper Title | Repository |
|---|---|---|---|
| MaskCLIP | 10.2 | Extract Free Dense Labels from CLIP | - |
| GEM (MetaCLIP) | 17.1 | Grounding Everything: Emerging Localization Properties in Vision-Language Transformers | - |
| CLIPSurgery | 12.9 | A Closer Look at the Explainability of Contrastive Language-Image Pre-training | - |
| COSMOS ViT-B/16 | 17.7 | COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training | - |
| GEM (CLIP) | 15.7 | Grounding Everything: Emerging Localization Properties in Vision-Language Transformers | - |
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