dynamic-visual-token-pruning-vlm

Dynamic token pruning framework for VLMs that adapts compression to scene complexity through single-pass selection. Removes 92.6% of visual tokens while maintaining performance and enabling superior fine-tuning.

Independent GitHub snapshot · Automated classification · Original documentation governs