Image Classification on UNSW Predators (test)
95.92AccuracyOATTA + TTAUG
Evaluation Results
| Method | Links | |
|---|---|---|
| OATTA + TTAUGBackbone=ResNet502026.01 | 95.92 | |
| OATTA + MEMOBackbone=ResNet502026.01 | 95.22 | |
| TTAUGBackbone=ResNet502026.01 | 95.2 | |
| TentBackbone=ResNet502026.01 | 94.92 | |
| OATTA + TentBackbone=ResNet502026.01 | 94.72 | |
| MEMOBackbone=ResNet502026.01 | 93.91 | |
| OATTABackbone=ResNet502026.01 | 93.85 | |
| OATTA + MC-DRBackbone=ResNet502026.01 | 93.82 | |
| MC-DRBackbone=ResNet502026.01 | 92.39 | |
| Source-OnlyBackbone=ResNet502026.01 | 92.24 |