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Joint-task Self-supervised Learning for Temporal Correspondence

Project | Paper

Overview

Joint-task Self-supervised Learning for Temporal Correspondence

Xueting Li*, Sifei Liu*, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang.

(* equal contributions)

In Neural Information Processing Systems (NeurIPS), 2019.

Citation

If you use our code in your research, please use the following BibTex:

@inproceedings{uvc_2019,
    Author = {Xueting Li and Sifei Liu and Shalini De Mello and Xiaolong Wang and Jan Kautz and Ming-Hsuan Yang},
    Title = {Joint-task Self-supervised Learning for Temporal Correspondence},
    Booktitle = {NeurIPS},
    Year = {2019},
}

Test on JHMDB

First propagate pose:

python test_jhmdb.py --evaluate --topk_vis 20 --sigma 0.5 --cropSize 320

Then test PCK by:

python eval_pck.py

Note you need to generate your own testlist_split1.txt w.r.t the JHMDB dataset path.

Acknowledgements

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Joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019)

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