Multimodal Autoregressive Pre-training of Large Vision Encoders

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Benchmark Model Rank Results
image-classification-on-imagenetAIMv2-3B (448 res)#19Top 1 Accuracy: 89.5%
image-classification-on-imagenetAIMv2-3B#44Top 1 Accuracy: 88.5%
image-classification-on-imagenetAIMv2-1B#59Top 1 Accuracy: 88.1%Number of params: 1200M
image-classification-on-imagenetAIMv2-H#86Top 1 Accuracy: 87.5%Number of params: 600M
image-classification-on-imagenetAIMv2-L#132Top 1 Accuracy: 86.6%Number of params: 300M
image-classification-on-imagenetAIMv2-2B#987Number of params: 2700M
image-classification-on-inaturalistAIMv2-3B (448 res)#1Top 1 Accuracy: 85.9
image-classification-on-inaturalistAIMv2-3B#5Top 1 Accuracy: 81.5
image-classification-on-inaturalistAIMv2-1B#8Top 1 Accuracy: 79.7
image-classification-on-inaturalistAIMv2-H#9Top 1 Accuracy: 77.9
image-classification-on-inaturalistAIMv2-L#10Top 1 Accuracy: 76

Rank counts only results with a code link.