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ViT分布偏移下的后期集中token削减策略

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2026年10月7日,arXiv计算机视觉领域(一手来源)发表题为《Later Is Better》的研究,聚焦分布偏移场景下Vision Transformer的token削减问题。该研究提出一种免训练的late-concentrated power-law token削减调度方法,声称在不增加推理成本的前提下,提升ViT在分布偏移条件下的精度。这是目前该事件唯一报道,暂无更早或相互矛盾的信息可供对照,后续进展与独立验证仍待观察。

Generated from reports · updated 3 hr ago

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Oct 7, 2026
  1. arXiv · Computer Vision
    Later Is Better:分布偏移下 ViT 的 token 削减研究

    一项研究提出免训练的 late-concentrated power-law token 削减调度,在不增加推理成本的情况下提升 Vision Transformer 在分布偏移下的精度。

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