Achieving Text-based Person Retrieval with Any Granularity
实现任意粒度的基于文本的行人检索
机构 * National Key Laboratory of Multispectral Information Intelligent Processing Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology(华中科技大学人工智能与自动化学院多光谱信息智能处理技术国家重点实验室) ; School of Software Engineering, Huazhong University of Science and Technology(华中科技大学软件工程学院)
AI总结 该研究针对基于文本的行人检索中查询粒度不确定问题提出新范式,构建多粒度数据集和评估基准,提出CMAM框架,通过多种策略实现粒度感知检索,实验证明其性能优于现有方法,为行人检索系统奠定基础。
Comments TPAMI-2026 Accepted Paper
Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026, pp. 1-18