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RATS! Patches Talk Through Registers: Emergent Parts in Register Attention Transformers

RATS decomposes vision transformers' classification token into learnable register tokens that spontaneously specialize into object parts, improving segmentation by up to 12 mIoU.

Timing Yang, Predrag Neskovic, Jansen Seheult, Wenchao Han and 3 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5