Selective Classification on ImageNet-A
0.122AURCEnergy
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| EnergyBackbone=DFN CLIP, Evaluation=Zero-shot2025.05 | 0.122 | 1.2 | |
| SIRCBackbone=DFN CLIP, Evaluation=Zero-shot2025.05 | 0.0848 | 0.817 | |
| MDSBackbone=DFN CLIP, Evaluation=Zero-shot2025.05 | 0.0321 | 0.274 | |
| MaxLogitBackbone=DFN CLIP, Evaluation=Zero-shot2025.05 | 0.0296 | 0.249 | |
| KNNBackbone=DFN CLIP, Evaluation=Zero-shot2025.05 | 0.0267 | 0.219 | |
| Δ-MDSBackbone=DFN CLIP, Evaluation=Zero-shot2025.05 | 0.0243 | 0.194 | |
| MSPBackbone=DFN CLIP, Evaluation=Zero-shot2025.05 | 0.0229 | 0.179 | |
| Δ-KNNBackbone=DFN CLIP, Evaluation=Zero-shot2025.05 | 0.0199 | 0.149 | |
| Δ-MDS-RLogBackbone=DFN CLIP, Evaluation=Zero-shot2025.05 | 0.016 | 0.109 | |
| RLogBackbone=DFN CLIP, Evaluation=Zero-shot2025.05 | 0.0159 | 0.108 | |
| Δ-KNN-RLogBackbone=DFN CLIP, Evaluation=Zero-shot2025.05 | 0.0145 | 0.093 |