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# Model Details
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Agglomerative Token Clustering (ATC), a novel
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ATC has been demonstrated to outperform all prior state-of-the-art token reduction methods across image classification, image synthesis, and object detection & segementation tasks.
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We provide DeiT checkpoints (Tiny, Small, and Base) at four reduction rates (0.9, 0.7, 0.5, and 0.25) for four classification datasets: ImageNet-1K, NABirds, COCO 2014, and NUS-WIDE.
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# Model Details
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Agglomerative Token Clustering (ATC), a novel hierarchical hard-merging based token reduction method.
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ATC has been demonstrated to outperform all prior state-of-the-art token reduction methods across image classification, image synthesis, and object detection & segementation tasks.
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We provide DeiT checkpoints (Tiny, Small, and Base) at four reduction rates (0.9, 0.7, 0.5, and 0.25) for four classification datasets: ImageNet-1K, NABirds, COCO 2014, and NUS-WIDE.
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