arXiv:2104.04631
공식 코드 · Papers with Code
DexYCB: A Benchmark for Capturing Hand Grasping of Objects
원문 초록
We introduce DexYCB, a new dataset for capturing hand grasping of objects. We first compare DexYCB with a related one through cross-dataset evaluation. We then present a thorough benchmark of state-of-the-art approaches on three relevant tasks: 2D object and keypoint detection, 6D object pose estimation, and 3D hand pose estimation. Finally, we evaluate a new robotics-relevant task: generating safe robot grasps in human-to-robot object handover. Dataset and code are available at https://dex-ycb.github.io.
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Monocular 3D Hand Pose Estimation with Implicit Camera Alignment
UA-Pose: Uncertainty-Aware 6D Object Pose Estimation and Online Object Completion with Partial References
One2Any: One-Reference 6D Pose Estimation for Any Object
Category-Level and Open-Set Object Pose Estimation for Robotics
Hand Pose Estimation in the Task of Egocentric Actions
SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds
토론
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