Putting Registers to Work: Task Registers for Token Pruning in Vision Transformers

Token-pruning policies are usually designed for a single recognition pipeline, but pretrained Vision Transformers are reused across tasks with different spatial demands. We ask which parts of a pruning policy transfer across image classification, semantic segmentation, and object detection. For each pipeline, controlled probes freeze the no-pruning checkpoint and apply a series of parameter-free reduction criteria at one eligible layer at a time without retraining. The probes reveal three differ

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ethics.ai (11 August 2026), “Putting Registers to Work: Task Registers for Token Pruning in Vision Transformers,” evidence record 18656, https://ethics.ai/record/18656 (originally published by arXiv cs.AI).

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