mmpose/configs/body_2d_keypoint/topdown_heatmap/coco/resnetv1d_coco.md

ResNetV1D (CVPR'2019)

@inproceedings{he2019bag,
  title={Bag of tricks for image classification with convolutional neural networks},
  author={He, Tong and Zhang, Zhi and Zhang, Hang and Zhang, Zhongyue and Xie, Junyuan and Li, Mu},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={558--567},
  year={2019}
}

COCO (ECCV'2014)

@inproceedings{lin2014microsoft,
  title={Microsoft coco: Common objects in context},
  author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence},
  booktitle={European conference on computer vision},
  pages={740--755},
  year={2014},
  organization={Springer}
}

Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 dataset

Arch	Input Size	AP	AP50	AP75	AR	AR50	ckpt	log
pose_resnetv1d_50	256x192	0.722	0.897	0.796	0.777	0.936	ckpt	log
pose_resnetv1d_50	384x288	0.730	0.899	0.800	0.782	0.935	ckpt	log
pose_resnetv1d_101	256x192	0.732	0.901	0.808	0.785	0.940	ckpt	log
pose_resnetv1d_101	384x288	0.748	0.906	0.817	0.798	0.941	ckpt	log
pose_resnetv1d_152	256x192	0.737	0.904	0.814	0.790	0.940	ckpt	log
pose_resnetv1d_152	384x288	0.751	0.907	0.821	0.801	0.942	ckpt	log