Image Classification on Stanford Cars Hue-shifted (test)
81.44AccuracyCIConv-W
Evaluation results
| Method | Links | |
|---|---|---|
| CIConv-WTraining Augmentation=Color Jitter2023.10 | 81.44 | |
| BaselineTraining Augmentation=Color Jitter2023.10 | 80.65 | |
| CEConv-2Training Augmentation=Color Jitter2023.10 | 80.28 | |
| CEConvTraining Augmentation=Color Jitter2023.10 | 79.79 | |
| CIConv-WTraining Augmentation=None2023.10 | 78.71 | |
| CEConvTraining Augmentation=AugMix2023.10 | 73.59 | |
| BaselineTraining Augmentation=AugMix2023.10 | 68.69 | |
| CEConv-2Training Augmentation=None2023.10 | 68.17 | |
| CEConvTraining Augmentation=None2023.10 | 67.16 | |
| BaselineTraining Augmentation=None2023.10 | 55.59 |