Python implementation of "Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation"

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Deep LearningMIPNet
Overview

MIPNet: Multi-Instance Pose Networks

report PWC PWC PWC PWC

This repository is the official pytorch python implementation of "Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation" in ICCV 2021.

| Project Page |

Code with detailed instructions is coming soon!

Citation

If you find the code useful in your research, please consider citing the paper.

@article{khirodkar2021multi,
  title={Multi-Hypothesis Pose Networks: Rethinking Top-Down Pose Estimation},
  author={Khirodkar, Rawal and Chari, Visesh and Agrawal, Amit and Tyagi, Ambrish},
  journal={arXiv preprint arXiv:2101.11223},
  year={2021}
}

We are working on referencing the below version till then please consider citing the above version.

@InProceedings{Khirodkar_2021_ICCV,
    author    = {Khirodkar, Rawal and Chari, Visesh and Agrawal, Amit and Tyagi, Ambrish},
    title     = {Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2021},
    pages     = {3122-3131}
}
Owner
Rawal Khirodkar
Ph.D. student in Robotics, CMU. Interested in Computer Vision
Rawal Khirodkar
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