1. DexYCB: A Benchmark for Capturing Hand Grasping of Objects
- Author
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Yashraj S. Narang, Jonathan Tremblay, Wei Yang, Ankur Handa, Yu-Wei Chao, Dieter Fox, Stan Birchfield, Karl Van Wyk, Umar Iqbal, Jan Kautz, Yu Xiang, and Pavlo Molchanov
- Subjects
FOS: Computer and information sciences ,business.industry ,Computer science ,Computer Vision and Pattern Recognition (cs.CV) ,Computer Science - Computer Vision and Pattern Recognition ,Object (computer science) ,Task (project management) ,Handover ,Benchmark (computing) ,Robot ,Computer vision ,Artificial intelligence ,business ,Pose - Abstract
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., Accepted to CVPR 2021
- Published
- 2021