Vision Token Pruning via Query-Vision Interaction Decomposition
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arXiv:2610.33215v1 Announce Type: new Abstract: Large vision-language models (VLMs), which process both visual inputs and text queries, incur high inference costs due to the large number of visual tokens, making visual token pruning a natural approach for improving efficiency. Recent work has lever…
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- 2026-10-27 04:00 · arXiv cs.LG
Vision Token Pruning via Query-Vision Interaction Decomposition