Yuxiang Yang, Junjie Yang, Yufei Xu, Jing Zhang 0037, Long Lan, Dacheng Tao. APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]
@inproceedings{YangYX0LT22,
title = {APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking},
author = {Yuxiang Yang and Junjie Yang and Yufei Xu and Jing Zhang 0037 and Long Lan and Dacheng Tao},
year = {2022},
url = {http://papers.nips.cc/paper_files/paper/2022/hash/6e566c91d381bd7a45647d9a90838817-Abstract-Datasets_and_Benchmarks.html},
researchr = {https://researchr.org/publication/YangYX0LT22},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
isbn = {9781713871088},
}