{
  "id": 17345,
  "url": "https://arxiv.org/abs/2608.06150v1",
  "title": "CogVis: Must Open-Vocabulary Change Detection Perceive the Scene Anew for Every Query?",
  "summary": "Earth-surface monitoring requires change detection models capable of recognizing arbitrary semantic categories. Open-Vocabulary Change Detection (OVCD) addresses this need. However, existing methods often entangle temporal perception, semantic discrimination, and region verification, causing unstable results and redundant computation. Inspired by human visual change perception, we propose CogVis, a cognitive memory-guided framework that reformulates OVCD as a perception-memory-verification parad",
  "authors": "Zijie Wang, Chen Zhong, Wei He",
  "category": "research",
  "topics": "bias-fairness",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-06T15:18:35.000Z",
  "fetched_at": "2026-08-07T05:10:58.501Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/17345",
  "original_url": "https://arxiv.org/abs/2608.06150v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}