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FoAViS: Analyzing Learned Fixation Strategies in a Foveated Active Vision System

Paper recorded by Signals 4 on 2026-10-30 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-30 on arXiv · recorded by Signals 4 on 2026-11-02

Category: cs.CV · 计算机视觉 · first seen 2026-11-02

Abstract

Human vision is foveated and active: resolution is highest at the fovea and falls off towards the periphery, and fixations are actively directed to locations of interest. Building a machine system that processes information in the same way lets us study gaze behavior in a controlled setting where the system's components and objectives are known. The emergence of gaze characteristics can therefore

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#43 most recent of 710 cs.CV papers we have recorded · ↑ newer: MoETok: Sparse Expert Routing for 1D Visual Tokenizers · ↓ older: TwinPast: Benchmarking Historical Evidence Use in Streaming Video Unde
Cite this page: FoAViS: Analyzing Learned Fixation Strategies in a Foveated Active Vision System: the #43 most recent of 710 cs.CV papers we have recorded (as of 2026-10-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/foavis-analyzing-learned-fixation-strategies-in-a-foveated-active-vision-system.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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