Image Classification on Waterbirds Original (test)
98.4AccuracyOriginal
Evaluation results
| Method | Links | |
|---|---|---|
| OriginalBackbone=ResNet-502021.06 | 98.4 | |
| Sallambda=102021.06 | 98.4 | |
| F(Random)augmentation=Random2021.06 | 98.4 | |
| F(Shuffle)augmentation=Shuffle2021.06 | 98.4 | |
| Mixupalpha=0.12021.06 | 98.4 | |
| LSepsilon=0.12021.06 | 98.4 | |
| F(FGSM)augmentation=FGSM2021.06 | 98.2 | |
| CF(Random)augmentation=Random2021.06 | 98.1 | |
| CF(Shuffle)augmentation=Shuffle2021.06 | 98.1 | |
| CF(Tile)augmentation=Tile2021.06 | 96.1 | |
| CF(Grey)augmentation=Grey2021.06 | 96 | |
| CF(CAGAN)augmentation=CAGAN2021.06 | 95.2 | |
| CF(CAGAN) + F(Random)2021.06 | 94.8 | |
| CF(CAGAN) + F(Random) + Sal2021.06 | 94.8 |