Awesome
Recurrent Exposure Generation for Low-Light Face Detection
PyTorch implementation of the paper Recurrent Exposure Generation for Low-Light Face Detection in TMM 2021.
<img src="method.png" alt="alt text" style="zoom: 50%;" />Dataset Preparation
The DARK FACE dataset can be downloaded from https://flyywh.github.io/CVPRW2019LowLight/.
Please replace _C.FACE.DSET_DIR
in the file data/config.py
with corresponding directory.
Pretrained Model
This implementation uses PyramidBox as base detector: Checkpoint
Usage
bash scripts/test_REGDet_pyramidbox.sh
Dependencies
- easydict==1.9
- torch==0.4.1
- torchvision==0.2.0
Citation
If you use REGDet for your research, please cite:
@article{liang2021recurrent,
ids = {liang2020recurrent},
title = {Recurrent {{Exposure Generation}} for {{Low}}-{{Light Face Detection}}},
author = {Liang, Jingxiu and Wang, Jingwen and Quan, Yuhui and Chen, Tianyi and Liu, Jiaying and Ling, Haibin and Xu, Yong},
year = {2021},
issn = {1941-0077},
doi = {10.1109/tmm.2021.3068840},
journal = {IEEE Transactions on Multimedia},
}