LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference

Benchmark Model Rank Results
image-classification-on-stanford-carsLeViT-192#13Accuracy: 89.8
image-classification-on-stanford-carsLeViT-384#15Accuracy: 89.3
image-classification-on-stanford-carsLeViT-128#16Accuracy: 88.6
image-classification-on-stanford-carsLeViT-128S#17Accuracy: 88.4
image-classification-on-stanford-carsLeViT-256#18Accuracy: 88.2
image-classification-on-inaturalist-2019LeViT-384#14Top-1 Accuracy: 74.3
image-classification-on-inaturalist-2019LeViT-256#17Top-1 Accuracy: 72.3
image-classification-on-inaturalist-2019LeViT-192#19Top-1 Accuracy: 70.8
image-classification-on-inaturalist-2019LeViT-128#20Top-1 Accuracy: 68.4
image-classification-on-inaturalist-2019LeViT-128S#21Top-1 Accuracy: 66.5
image-classification-on-flowers-102LeViT-384#31Accuracy: 98.3
image-classification-on-flowers-102LeViT-192#41Accuracy: 97.8
image-classification-on-flowers-102LeViT-256#43Accuracy: 97.7
image-classification-on-flowers-102LeViT-128S#47Accuracy: 96.8
image-classification-on-imagenet-v2LeViT-384#37Top 1 Accuracy: 71.4
image-classification-on-imagenet-v2LeViT-256#39Top 1 Accuracy: 69.9
image-classification-on-imagenet-v2LeViT-192#45Top 1 Accuracy: 68.7
image-classification-on-imagenet-v2LeViT-128#48Top 1 Accuracy: 67.5
image-classification-on-imagenet-v2LeViT-128S#53Top 1 Accuracy: 63.9
image-classification-on-imagenet-realLeViT-384#39Accuracy: 87.5%
image-classification-on-imagenet-realLeViT-256#41Accuracy: 86.9%
image-classification-on-imagenet-realLeViT-192#44Accuracy: 85.8%
image-classification-on-imagenet-realLeViT-128#46Accuracy: 85.6%
image-classification-on-imagenet-realLeViT-128S#53Accuracy: 82.6%
image-classification-on-inaturalist-2018LeViT-384#39Top-1 Accuracy: 66.9%
image-classification-on-inaturalist-2018LeViT-256#40Top-1 Accuracy: 66.2%
image-classification-on-inaturalist-2018LeViT-192#46Top-1 Accuracy: 60.4%
image-classification-on-inaturalist-2018LeViT-128S#49Top-1 Accuracy: 55.2%
image-classification-on-inaturalist-2018LeViT-128#50Top-1 Accuracy: 54%
image-classification-on-cifar-10LeViT-192#65Percentage correct: 98.2
image-classification-on-cifar-10LeViT-256#73Percentage correct: 98.1
image-classification-on-cifar-10LeViT-384#79Percentage correct: 98
image-classification-on-cifar-10LeViT-128#99Percentage correct: 97.6
image-classification-on-cifar-10LeViT-128S#101Percentage correct: 97.5
image-classification-on-imagenetLeViT-384#564Top 1 Accuracy: 82.5%Number of params: 39.4MGFLOPs: 2.334
image-classification-on-imagenetLeViT-256#658Top 1 Accuracy: 81.6%Number of params: 17.8MGFLOPs: 1.066
image-classification-on-imagenetLeViT-192#763Top 1 Accuracy: 80%Number of params: 10.4MGFLOPs: 0.624
image-classification-on-imagenetLeViT-128#786Top 1 Accuracy: 79.6%Number of params: 8.8MGFLOPs: 0.376
image-classification-on-imagenetLeViT-128S#977Top 1 Accuracy: 75.7%Number of params: 4.7MGFLOPs: 0.288