Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model

Benchmark Model Rank Results
image-classification-on-flowers-102Diff-Mix + CutMix (ViT-B/16@384) (extra data)#7Accuracy: 99.68
fine-grained-image-classification-on-stanford-dogsDiff-Mix (ViT-B/16@384) (extra data)#8Accuracy: 91.99%
fine-grained-image-classification-on-cub-200-2011Diff-Mix + CutMix (ViT-B/16@384) (extra data)#10Accuracy: 90.35
fine-grained-image-classification-on-fgvc-aircraftDiff-Mix (ResNet50@448) (extra data)#34Accuracy: 90.25%