Image Classification on CIFAR-100 (ACC, CEA)
87.3AccuracyPS-CBM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PS-CBMBackbone=CLIP ViT-L/142025.11 | 87.3 | 64.9 | |
| Linear ProbeBackbone=CLIP ViT-L/142025.11 | 87.1 | — | |
| VLG-CBMBackbone=CLIP ViT-L/142025.11 | 87 | 64.7 | |
| DN-CBMBackbone=CLIP ViT-L/142025.11 | 86.3 | 59.3 | |
| LF-CBMBackbone=CLIP ViT-L/142025.11 | 86.1 | 62.3 | |
| V2C-CBMBackbone=CLIP ViT-L/142025.11 | 86.1 | 59.5 | |
| LaBoBackbone=CLIP ViT-L/142025.11 | 85.9 | 59.4 | |
| DCBMBackbone=CLIP ViT-L/142025.11 | 85.2 | 60.6 | |
| LM4CVBackbone=CLIP ViT-L/142025.11 | 84.5 | 63.2 | |
| Res-CBMBackbone=CLIP ViT-L/142025.11 | 83 | 62.7 |