ML Anthology

YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss

Debapriya Maji, Soyeb Nagori, Manu Mathew, Deepak Poddar
CVPRW 2022 pp. 2636-2645
doi:10.1109/CVPRW56347.2022.00297 /cvprw/2022/maji2022cvprw-yolopose/
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Cite

Text

Maji et al. "YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022. doi:10.1109/CVPRW56347.2022.00297

Markdown

[Maji et al. "YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022.](https://mlanthology.org/cvprw/2022/maji2022cvprw-yolopose/) doi:10.1109/CVPRW56347.2022.00297

BibTeX

@inproceedings{maji2022cvprw-yolopose,
  title     = {{YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss}},
  author    = {Maji, Debapriya and Nagori, Soyeb and Mathew, Manu and Poddar, Deepak},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2022},
  pages     = {2636-2645},
  doi       = {10.1109/CVPRW56347.2022.00297},
  url       = {https://mlanthology.org/cvprw/2022/maji2022cvprw-yolopose/}
}