PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation

CVPR 2020 Jianzhun Shao Yuhang Jiang Gu Wang Zhigang Li Xiangyang Ji

6D pose estimation from a single RGB image is a challenging and vital task in computer vision. The current mainstream deep model methods resort to 2D images annotated with real-world ground-truth 6D object poses, whose collection is fairly cumbersome and expensive, even unavailable in many cases... (read more)

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