SVD-Prune selects vision tokens via SVD leverage scores to outperform attention-based pruning at extreme budgets of 32 or 16 tokens.
Hired: Attention-guided token dropping for effi- cient inference of high-resolution vision-language mod- els,
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Beyond Attention Scores: SVD-Based Vision Token Pruning for Efficient Vision-Language Models
SVD-Prune selects vision tokens via SVD leverage scores to outperform attention-based pruning at extreme budgets of 32 or 16 tokens.