Conceptpruning / 剪枝
Token Pruning
Token pruning is a method that compresses model input by removing unimportant tokens, but it discards critical spatial cues and thereby degrades visual grounding capability.
Timeline (last 90 days)
Oct 13
Token pruning methods discard key spatial cues, causing visual localization capability to be impaired.
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