Animal Classification on AWA
92.23Task AccuracySynCEM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SynCEMBackbone=ResNet2026.05 | 92.23 | 97.48 | |
| CBMBackbone=ResNet2026.05 | 91.98 | 97.38 | |
| HP-CBMBackbone=ResNet2026.05 | 91.41 | 91.39 | |
| MixCEMBackbone=ResNet2026.05 | 89.52 | 97.38 | |
| DNNBackbone=ResNet2026.05 | 88.57 | — | |
| CEMBackbone=ResNet2026.05 | 88.14 | 97.04 | |
| ProbCBMBackbone=ResNet2026.05 | 86.49 | 96.81 | |
| SynCBMBackbone=ResNet2026.05 | 82.63 | 93.43 |