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Cited by 285

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

DexYCB: A Benchmark for Capturing Hand Grasping of Objects

Open access
Chao, Yu-Wei, Yang, Wei, Xiang, Yu, Molchanov, Pavlo, Handa, Ankur, Tremblay, Jonathan, Narang, Yashraj S., Van Wyk, Karl, Iqbal, Umar, Birchfield, Stan, Kautz, Jan, Fox, Dieter·2021·2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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.1

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Crossref · 10.1109/cvpr46437.2021.00893

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Metadata

Authors
Chao, Y.-W., Yang, W., Xiang, Y., Molchanov, P., Handa, A., Tremblay, J., Narang, Y. S., Van Wyk, K., Iqbal, U., Birchfield, S., Kautz, J., & Fox, D.
Venue
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Publisher
IEEE
Published
2021-06
Pages
9040-9049
ISSN
1063-6919 (ISSN-L)
OpenAlex
W3180172155
Cited by
285
References
49
FWCI
62.44
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: DexYCB: A Benchmark for Capturing Hand Grasping of Objects. https://app.cochat.ai/papers/10.1109/cvpr46437.2021.00893
The paper
Chao, Y.-W., Yang, W., Xiang, Y., Molchanov, P., Handa, A., Tremblay, J., Narang, Y. S., Van Wyk, K., Iqbal, U., Birchfield, S., Kautz, J., & Fox, D. (2021). DexYCB: A Benchmark for Capturing Hand Grasping of Objects. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/cvpr46437.2021.00893

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.