An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Benchmark Model Rank Results
domain-generalization-on-vizwizViT-16/L-224#8Accuracy - All Images: 49
domain-generalization-on-vizwizViT-8/B-224#90Accuracy - Clean Images: 450
fine-grained-image-classification-on-oxford-2ViT-B/16#17Top-1 Error Rate: 6.2%
image-classification-on-cifar-10ViT-H/14#1Percentage correct: 99.5
image-classification-on-cifar-10ViT-L/16#4Percentage correct: 99.42
image-classification-on-flowers-102#5Accuracy: 99.68
image-classification-on-imagenetViT-H/14#38Top 1 Accuracy: 88.55%
image-classification-on-imagenetViT-L/16#73Top 1 Accuracy: 87.76%
image-classification-on-imagenetViT-Large#983Top 1 Accuracy: 24%
image-classification-on-objectnetViT-H/14#83Top-5 Accuracy: 82.1