LearnPrunerV2: Learnable Progressive Token Pruning for Vision-Language Models
Vision-Language Models (VLMs) have demonstrated remarkable multimodal capabilities but suffer from prohibitive computational overhead due to the massive number of visual tokens. While token pruning is a promising solution, existing methods still suffer from two major drawbacks: 1) unreliable pruning criteria that fail...
Rinyoichi Takezoe, Ya-Qian Li, Wei-Ren Wang et al.
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