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This has the effect of regularizing layers so that they don’t rely on a single block

1 Pith paper cite this work. Polarity classification is still indexing.

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cs.CV 1

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2022 1

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UNVERDICTED 1

representative citing papers

Token Merging: Your ViT But Faster

cs.CV · 2022-10-17 · unverdicted · novelty 6.0

Token Merging (ToMe) doubles the throughput of large Vision Transformers on images, video, and audio by merging similar tokens with a fast matching algorithm, incurring only 0.2-0.4% accuracy loss.

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  • Token Merging: Your ViT But Faster cs.CV · 2022-10-17 · unverdicted · none · ref 17

    Token Merging (ToMe) doubles the throughput of large Vision Transformers on images, video, and audio by merging similar tokens with a fast matching algorithm, incurring only 0.2-0.4% accuracy loss.