Image Classification on WaterBirds biased scenario (test)
87.42Average AccuracyDeYO
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DeYOBackbone=ResNet-50-BN2024.03 | 87.42 | 73.92 | |
| SENTRYBackbone=ResNet-50-BN2024.03 | 85.77 | 60.9 | |
| ResNet-50-BNBackbone=ResNet-50-BN2024.03 | 83.16 | 64.9 | |
| TentBackbone=ResNet-50-BN2024.03 | 82.95 | 54.14 | |
| SARBackbone=ResNet-50-BN2024.03 | 82.6 | 53.41 | |
| EATABackbone=ResNet-50-BN2024.03 | 82.38 | 52.38 | |
| MEMOBackbone=ResNet-50-BN2024.03 | 82.34 | 50.47 |