78%Highly rated
?Highly ratedVote to see the score
Vision Transformers Learn Gestalt-Like Figure-Ground Cues from Natural Images
Vision transformers learn Gestalt-like figure-ground cues, surroundedness, convexity, and symmetry for uniform regions, from natural images, with linear probes generalizing zero-shot to artificial stimuli.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
– ReadersNo votes yet
11/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 2/5