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Posetrack18 Dataset


Posewarper + Hrnet + Posetrack18 on Posetrack18

PoseWarper (NeurIPS'2019)
@inproceedings{NIPS2019_gberta,
title = {Learning Temporal Pose Estimation from Sparsely Labeled Videos},
author = {Bertasius, Gedas and Feichtenhofer, Christoph, and Tran, Du and Shi, Jianbo, and Torresani, Lorenzo},
booktitle = {Advances in Neural Information Processing Systems 33},
year = {2019},
}
HRNet (CVPR'2019)
@inproceedings{sun2019deep,
  title={Deep high-resolution representation learning for human pose estimation},
  author={Sun, Ke and Xiao, Bin and Liu, Dong and Wang, Jingdong},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={5693--5703},
  year={2019}
}
PoseTrack18 (CVPR'2018)
@inproceedings{andriluka2018posetrack,
  title={Posetrack: A benchmark for human pose estimation and tracking},
  author={Andriluka, Mykhaylo and Iqbal, Umar and Insafutdinov, Eldar and Pishchulin, Leonid and Milan, Anton and Gall, Juergen and Schiele, Bernt},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={5167--5176},
  year={2018}
}
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}
}

Note that the training of PoseWarper can be split into two stages.

The first-stage is trained with the pre-trained checkpoint on COCO dataset, and the main backbone is fine-tuned on PoseTrack18 in a single-frame setting.

The second-stage is trained with the last checkpoint from the first stage, and the warping offsets are learned in a multi-frame setting while the backbone is frozen.

Results on PoseTrack2018 val with ground-truth bounding boxes

Arch Input Size Head Shou Elb Wri Hip Knee Ankl Total ckpt log
pose_hrnet_w48 384x288 88.2 90.3 86.1 81.6 81.8 83.8 81.5 85.0 ckpt log

Results on PoseTrack2018 val with precomputed human bounding boxes from PoseWarper supplementary data files from this link1.

Arch Input Size Head Shou Elb Wri Hip Knee Ankl Total ckpt log
pose_hrnet_w48 384x288 81.8 85.6 82.7 77.2 76.8 79.0 74.4 79.8 ckpt log

1 Please download the precomputed human bounding boxes on PoseTrack2018 val from $PoseWarper_supp_files/posetrack18_precomputed_boxes/val_boxes.json and place it here: $mmpose/data/posetrack18/posetrack18_precomputed_boxes/val_boxes.json to be consistent with the config. Please refer to DATA Preparation for more detail about data preparation.

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