@@ -50,7 +50,21 @@ We used in our study three architectures:
We used for training and for inference the code provided by the authors in the three linked repositories.
Weights of the trained model evaluated in our study can be found [here]().
More details about the training can be found in our paper.
More details about the training can be found in our [paper](https://openaccess.thecvf.com/content/ICCV2021W/AVVision/papers/Guesdon_DriPE_A_Dataset_for_Human_Pose_Estimation_in_Real-World_Driving_ICCVW_2021_paper.pdf).
##### **HPE on the COCO 2017 validation set.**
AP OKS (\%) | AP | AP<sup>50</sup> | AP<sup>75</sup> | AP<sup>L</sup> | AR | AR<sup>50</sup> | AR<sup>75</sup> | AR<sup>L</sup>
