A training-free Nyström attention variant with farthest-point sampling preserves ViT performance at lower cost, and masking attention-sink tokens yields modest downstream gains.
Learn- ing a sparse transformer network for effective image deraining
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Artifacts and Attention Sinks: Structured Approximations for Efficient Vision Transformers
A training-free Nyström attention variant with farthest-point sampling preserves ViT performance at lower cost, and masking attention-sink tokens yields modest downstream gains.