ExploreNet ablation: perturbing learned high-sensitivity channels drives larger human-perceived change
StellaLisy · x · 2026-10-08
Researcher StellaLisy digs into what ExploreNet learned to amplify. Annotators viewed images perturbed in a single latent channel and rated visual change versus the reference; perturbing the channels ExploreNet learned to amplify produced noticeably larger perceived changes, showing its exploration aligns with image-changing directions.
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