Citation
Sangbum Choi, Seokeon Choi, and Changick Kim. (2021). "MobileHumanPose: Toward Real-Time 3D Human Pose Estimation in Mobile Devices." IEEE/CVF CVPR Workshops, 2328-2338.
MobileHumanPose is a mobile-friendly 3D human pose estimation model built for real-time inference from a single RGB image. The model uses a modified MobileNetV2 backbone, parametric activation, and U-Net-inspired skip concatenation to reduce model size and improve CPU inference speed on mobile devices.