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Adaptive Patch Transformers (APT), a method to accelerate vision transformers (ViTs) by using multiple different patch sizes within the same image. APT reduces the total number of input tokens by using larger patch sizes in more homogeneous image regions, and smaller patches in more complex ones. APT achieves a drastic speedup in ViT inference and training, increasing throughput by 40% on ViT-L and 50% on ViT-H while maintaining downstream performance. It can be applied to a previously fine-tune
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