互动感知变压器网络用于人与物体互动检测
IEEE transactions on cybernetics
|July 24, 2025
概括
这项研究引入了一种交互意识的变压器网络 (IATN),用于人与物体交互 (HOI) 检测. 该模型有效地整合了隐性行动级和显式对象级信息,以改进HOI识别.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 人与物体相互作用 (HOI) 检测旨在识别和分类人与物体之间的相互作用.
- 目前的HOI方法通常依赖于变压器网络和明确的对象级先验.
- 现有的方法忽视了HOI固有的关键隐性行动级信息.
研究的目的:
- 提出一个交互意识的变压器网络 (IATN) 进行增强的HOI检测.
- 为了有效地整合隐含的行动层面和明确的对象层面的priors.
- 提高HOI的联合定位和分类的准确性.
主要方法:
- 开发了一个互动意识的变压器网络 (IATN).
- 引入了一个动作意识模块 (AAM) 来汇总场景级和实例级的动作先验.
- 设计了一个以行动为导向的图 (AOG) 以共同聚合行动和对象级的priors.
- 利用知识蒸来增强行动层面的优先事项.
主要成果:
- 拟议的IATN有效地利用隐含的行动级和明确的对象级priors.
- 在HICO-DET和V-COCO数据集上的实验证明了该模型的有效性.
- 交互意识的查询采集导致了更好的HOI预测.
结论:
- 拟议的IATN通过整合行动级信息,显著提升了HOI检测.
- 共同利用隐式和显式先验的新方法提供了对HOI的更全面的理解.
- IATN为准确的人物对象交互识别提供了一个强大的框架.
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