English(EN) ARGOS: Who, Where, and When in Agentic Multi-Camera Person Search

新的ARGOS基准解决了多摄像头人员搜索中模糊的目击者描述

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-07 04:00

研究人员推出了ARGOS，这是一个用于多摄像头人员搜索的新基准和代理框架。与依赖完整视觉查询的先前方法不同，ARGOS能够处理来自目击者描述的模糊和不完整信息。该框架要求代理在有限的回合预算内进行交互式推理、规划问题，并利用空间和时间工具，这些工具都以时空拓扑图为基础。 AI

影响该基准可以提升代理在复杂、现实世界信息检索任务中的推理能力。

排序理由该集群包含一篇详细介绍特定AI任务新基准和框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Myungchul Kim, Kwanyong Park, Junmo Kim, In So Kweon · 2026-09-07 04:00

ARGOS：在Agentic多摄像头人员搜索中的“谁、何地、何时”

arXiv:2604.12762v2 Announce Type: replace-cross Abstract: Existing person search methods assume access to complete visual queries or exhaustive tracking, yet real-world witness accounts are vague, partial, and spread across cameras and time. We introduce ARGOS (Agentic Retrieval …