iBOT achieves 82.3% linear probing accuracy and 87.8% fine-tuning accuracy on ImageNet-1K using masked image modeling with a jointly trained online tokenizer.
Adding a variance upon the fixed value can also consistently bring a performance gain, which can be explained as stronger data augmentation
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iBOT: Image BERT Pre-Training with Online Tokenizer
iBOT achieves 82.3% linear probing accuracy and 87.8% fine-tuning accuracy on ImageNet-1K using masked image modeling with a jointly trained online tokenizer.