Revisiting Weakly Supervised Pre-Training of Visual Perception Models

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Benchmark Model Rank Results
image-classification-on-places365-standardSWAG (ViT H/14)#1Top 1 Accuracy: 60.7
fine-grained-image-classification-on-cub-200-2011SWAG (ViT H/14)#6Accuracy: 91.7
image-classification-on-inaturalist-2018SWAG (ViT H/14)#6Top-1 Accuracy: 86.0%
image-classification-on-imagenet-v2SWAG (ViT H/14)#12Top 1 Accuracy: 81.1
image-classification-on-imagenet-realSWAG (RegNetY 128GF)#16Accuracy: 90.7%
image-classification-on-objectnetSWAG (ViT H/14)#19Top-1 Accuracy: 69.5
image-classification-on-objectnetRegNetY 128GF (Platt)#22Top-1 Accuracy: 64.3
image-classification-on-objectnetViT H/14 (Platt)#27Top-1 Accuracy: 60
image-classification-on-objectnetViT L/16 (Platt)#30Top-1 Accuracy: 57.3
image-classification-on-objectnetViT B/16#36Top-1 Accuracy: 48.9
image-classification-on-imagenetSWAG (ViT H/14)#41Top 1 Accuracy: 88.6%Number of params: 633.5MGFLOPs: 1018.8

Rank counts only results with a code link.