Signals 4 · free daily AI digest

Efficient Semantic Understanding from Digital Foveation

Paper recorded by Signals 4 on 2026-09-03 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-03 on arXiv · recorded by Signals 4 on 2026-09-04

Category: cs.CV · 计算机视觉 · first seen 2026-09-04

Abstract

Dense semantic segmentation allocates computational resources uniformly across the entire image, regardless of scene complexity or task relevance. Inspired by biological vision, we investigate whether semantic understanding can be achieved more efficiently through digital foveated perception. We introduce a lightweight active-vision pipeline that combines saliency-driven fixation selection, high-r

Read on arXiv →

#153 most recent of 237 cs.CV papers we have recorded · ↑ newer: Adaptive Vision-Language Grasping via Composable Foundation Priors and · ↓ older: TAP-Path: Task-Adaptive Structural and Token Pruning for Efficient and
Cite this page: Efficient Semantic Understanding from Digital Foveation: the #153 most recent of 237 cs.CV papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/efficient-semantic-understanding-from-digital-foveation.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CV papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions