Object Classification on SUN397
98Top-1 AccuracyCAC
Evaluation Results
| Method | Links | |
|---|---|---|
| CACBackbone=ViT-L/14 from CLIP2025.12 | 98 | |
| CoLORBackbone=ViT-L/14 from CLIP2025.12 | 98 | |
| Source-onlyBackbone=ViT-L/14 from CLIP2025.12 | 97 | |
| DDBackbone=ViT-L/14 from CLIP2025.12 | 97 | |
| PULSEBackbone=ViT-L/14 from CLIP2025.12 | 97 | |
| CACBackbone=ResNet502025.12 | 85 | |
| CoLORBackbone=ResNet502025.12 | 83 | |
| PULSEBackbone=ResNet502025.12 | 82 | |
| DDBackbone=ResNet502025.12 | 75 | |
| BODABackbone=ViT-L/14 from CLIP2025.12 | 75 | |
| Source-onlyBackbone=ResNet502025.12 | 72 | |
| ITOPre-training Dataset=DataComp-1B, Backbone=ViT-B/16, Training Epochs=10 epochs, Zero-shot protocol=EVA-CLIP2026.03 | 70.3 | |
| BODABackbone=ResNet502025.12 | 70 | |
| ITO sub2Pre-training Dataset=DataComp-1B, Backbone=ViT-B/16, Training Epochs=10 epochs, Zero-shot protocol=EVA-CLIP2026.03 | 69.8 | |
| CLIPPre-training Dataset=DataComp-1B, Backbone=ViT-B/16, Training Epochs=10 epochs, Zero-shot protocol=EVA-CLIP2026.03 | 69.7 | |
| RényiCLProtocol=linear evaluation2022.08 | 66.1 | |
| NNCLRProtocol=linear evaluation2022.08 | 62.5 | |
| BYOLProtocol=linear evaluation2022.08 | 62.2 | |
| SupervisedProtocol=linear evaluation2022.08 | 61.9 | |
| SimCLRProtocol=linear evaluation2022.08 | 58.8 | |
| ITO sub2Backbone=ViT-B/16, Pre-training Dataset=CC3M-recap, Evaluation Protocol=Zero-shot2026.03 | 46 | |
| ITO sub3Backbone=ViT-B/16, Pre-training Dataset=CC3M-recap, Evaluation Protocol=Zero-shot2026.03 | 46 | |
| FLAIRBackbone=ViT-B/16, Pre-training Dataset=CC3M-recap, Evaluation Protocol=Zero-shot2026.03 | 42.3 |