单查询以人为中心的双手机器交互检测

AI 摘要

该论文提出以人为中心的双手机器交互检测框架，用单个查询预测一个人的完整结构化输出，包括人体框、姿态、左右手框与状态及交互目标。方法引入部件感知可变形注意力，并用关系矩阵统一检测与交互推理，直接从检测到的查询中恢复目标框和类别。作者构建了基于COCO的人为中心双手交互标注数据集，并定义结构化评估指标，实验表明该框架能提升人级别双手交互解析效果。

正文节选

Single-Query Person-Centric Bimanual Hand-Object Interaction Detection Abstract Understanding person-level bi-manual interactions requires not only detecting hands, but also identifying which two hands belong to the same person and what each hand interacts with. Existing hand–object interaction methods are mostly hand-centric: they treat each hand as an independent instance, which can lead to ambiguous ownership in multi-person scenes. We propose a person-centric formulation in which a single qu

发布时间：2026-09-14 12:00

抓取时间：2026-09-14 12:21

来源机构：arXiv