Animal Classification on AWA Inc
91.86Task AccuracySynCEM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SynCEMBackbone=ResNet2026.05 | 91.86 | 97.24 | |
| HP-CBMBackbone=ResNet2026.05 | 91.47 | 89.59 | |
| SynCBMBackbone=ResNet2026.05 | 88.39 | 96.7 | |
| CEMBackbone=ResNet2026.05 | 87.95 | 96.52 | |
| DNNBackbone=ResNet2026.05 | 87.94 | — | |
| MixCEMBackbone=ResNet2026.05 | 86.05 | 95.88 | |
| CBMBackbone=ResNet2026.05 | 71.52 | 93.1 | |
| ProbCBMBackbone=ResNet2026.05 | 65.05 | 95.61 |