手部可见性检测器：逐关键点可见性估计新模型
原标题：Hand Visibility Detector: Per-Keypoint Visibility Estimation for Hands
AI 摘要
Hugging Face 每日论文介绍了 Hand Visibility Detector，这是一个专门用于手部关节可见性估计的模型，旨在解决现有手部姿态估计方法在遮挡情况下无法明确输出关节可见性的问题。该模型利用在大规模数据上预训练的手部姿态估计模型作为骨干网络，实现了高精度的可见性估计，并展示了其在多视角 3D 手部姿态标注中的实用性，通过可见性加权三角化减少了重投影误差。代码和演示已在 GitHub 上开源，并已获得社区关注。
正文节选
Hand Visibility Detector: Per-Keypoint Visibility Estimation for Hands Abstract This work introduces a dedicated model for per-joint hand visibility estimation and demonstrates its benefit for multi-view 3D hand pose annotation. Hand Pose Estimation (HPE) is a fundamental technology for various applications such as AR/VR and robotics. In these applications, the visibility of each hand joint in the image is crucial for assessing the reliability of estimation results under occlusion. However, most