Rényi Entropy: A New Token Pruning Metric for Vision Transformers
Rényi Entropy: A New Token Pruning Metric for Vision Transformers explores A novel, training-free metric for efficient token pruning in Vision Transformers and Large Vision-Language Models, significantly improving inference speed without sacrificing accuracy.. Commercial viability score: 7/10 in Vision Transformer Optimization.
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