AIBullisharXiv – CS AI · 6h ago6/10
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Spatial-Aware Reduction Framework: Towards Efficient and Faithful Visual State Space Models
Researchers introduce STORM, a spatial-aware token reduction framework that addresses performance collapse in visual state space models like Mamba when applying token reduction techniques. By maintaining structural integrity and two-dimensional grid topology during compression, STORM achieves significant accuracy recovery, particularly on VMamba with up to 63.3% improvement while operating as a training-free plug-and-play module.