Image Classification on ImageNette 128x128 (val)
87.4AccuracyFull Dataset
Evaluation Results
| Method | Links | |
|---|---|---|
| Full DatasetImages per class=Full2022.03 | 87.4 | |
| MTTImages per class=102022.03 | 63 | |
| MTTImages per class=12022.03 | 47.7 | |
| DCDistillation Space=F-space (GLaD), Evaluation Architectures=Average (AlexNet, VGG11, ResNet18, ViT)2023.05 | 31 | |
| MTTDistillation Space=F-space (GLaD), Evaluation Architectures=Average (AlexNet, VGG11, ResNet18, ViT)2023.05 | 30.4 | |
| DCDistillation Space=Pixel, Evaluation Architectures=Average (AlexNet, VGG11, ResNet18, ViT)2023.05 | 28.2 | |
| MTTDistillation Space=Pixel, Evaluation Architectures=Average (AlexNet, VGG11, ResNet18, ViT)2023.05 | 24.1 | |
| DMDistillation Space=F-space (GLaD), Evaluation Architectures=Average (AlexNet, VGG11, ResNet18, ViT)2023.05 | 21.9 | |
| DMDistillation Space=Pixel, Evaluation Architectures=Average (AlexNet, VGG11, ResNet18, ViT)2023.05 | 20.6 |