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Cut-ViT: Task-Specific Model Pruning via Gram Anchoring Subspace Consistency
Pruning visual foundation models has attracted considerable attention. However, existing methods focus on rigid point-to-point token alignment on a single dataset for pruning, suffering from two limitations: i) robustness degradation, and ii) task-specificity deficiency. To address these limitations
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