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Commit 0dbf81ec authored by Romain Guesdon's avatar Romain Guesdon
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Acknowledgments + intro

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...@@ -17,16 +17,19 @@ Workshop AVVision : Autonomous Vehicle Vision ...@@ -17,16 +17,19 @@ Workshop AVVision : Autonomous Vehicle Vision
# Table of content # Table of content
- [Overview](#overview) - [Overview](#overview)
- [Dataset](#dataset) - [Dataset](#dataset)
- [Networks](#networks)
- [Evaluation](#evaluation) - [Evaluation](#evaluation)
- [Training](#training)
- [Citation](#citation) - [Citation](#citation)
- [Acknowledgements](#acknowledgements) - [Acknowledgements](#acknowledgements)
# Overview # Overview
This repository contains link to download the DriPE dataset, This repository contains materials from the paper
along with trained weights for the three networks presented in this paper: [DriPE: A Dataset for Human Pose Estimation in Real-World Driving Settings](https://openaccess.thecvf.com/content/ICCV2021W/AVVision/papers/Guesdon_DriPE_A_Dataset_for_Human_Pose_Estimation_in_Real-World_Driving_ICCVW_2021_paper.pdf).
We provide the link to download the DriPE [dataset](#dataset),
along with trained weights for the three [networks](#networks) presented in this paper:
SBl, MSPN and RSN. SBl, MSPN and RSN.
Furthermore, we provide the code to evaluate HPE networks with mAPK metric, our keypoint-centered metric. Furthermore, we provide the code to evaluate HPE networks with [mAPK metric](#evaluation), our keypoint-centered metric.
# Dataset # Dataset
DriPE dataset can be found [here](). We provide the 10k images, DriPE dataset can be found [here](). We provide the 10k images,
...@@ -76,9 +79,6 @@ AP | 0.30 | 0.86 | 0.78 | 0.92 | 0.91 | 0.76 | 0.13 | 0.68 | 0.67 | 0.29 ...@@ -76,9 +79,6 @@ AP | 0.30 | 0.86 | 0.78 | 0.92 | 0.91 | 0.76 | 0.13 | 0.68 | 0.67 | 0.29
AR | 0.87 | 0.92 | 0.93 | 0.96 | 0.88 | 0.61 | 0.05 | 0.80 | 0.75 | 0.31 AR | 0.87 | 0.92 | 0.93 | 0.96 | 0.88 | 0.61 | 0.05 | 0.80 | 0.75 | 0.31
# Citation # Citation
If you use this dataset or code in your research, please cite the paper: If you use this dataset or code in your research, please cite the paper:
``` ```
@InProceedings{Guesdon_2021_ICCV, @InProceedings{Guesdon_2021_ICCV,
...@@ -91,4 +91,12 @@ If you use this dataset or code in your research, please cite the paper: ...@@ -91,4 +91,12 @@ If you use this dataset or code in your research, please cite the paper:
} }
``` ```
# Acknowledgments # Acknowledgments
\ No newline at end of file This work was supported by the Pack Ambition
Recherche 2019 funding of the French AURA Region in
the context of the AutoBehave project.
<p style="text-align:center">
<img style="margin-right: 20px" src="https://eric.univ-lyon2.fr/eda2017/images/logo_liris.png" alt="LIRIS logo" height="75" width="160"/>
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</p>
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