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L3S -Leibniz University Hannover
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Unlock human-interpretable image classifications from frozen DINOv2 models with DINO-QPM, which surprisingly surpasses DINOv2 linear probe accuracy while providing superior explanation quality.
Achieve 2x the efficiency of standard patch pruning by intelligently dropping video tokens in early transformer layers, guided by temporal context.
