mmpose/configs/animal_2d_keypoint/topdown_heatmap/locust/resnet_locust.md

SimpleBaseline2D (ECCV'2018)

@inproceedings{xiao2018simple,
  title={Simple baselines for human pose estimation and tracking},
  author={Xiao, Bin and Wu, Haiping and Wei, Yichen},
  booktitle={Proceedings of the European conference on computer vision (ECCV)},
  pages={466--481},
  year={2018}
}

Desert Locust (Elife'2019)

@article{graving2019deepposekit,
  title={DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning},
  author={Graving, Jacob M and Chae, Daniel and Naik, Hemal and Li, Liang and Koger, Benjamin and Costelloe, Blair R and Couzin, Iain D},
  journal={Elife},
  volume={8},
  pages={e47994},
  year={2019},
  publisher={eLife Sciences Publications Limited}
}

Results on Desert Locust test set

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
pose_resnet_50	160x160	1.000	0.900	2.27	ckpt	log
pose_resnet_101	160x160	1.000	0.907	2.03	ckpt	log
pose_resnet_152	160x160	1.000	0.925	1.49	ckpt	log