Code in PyTorch for paper "ES-Net: An Efficient Stereo Matching Network" submitted to IROS 2021 [Paper Link].
Python 3.6
PyTorch(1.2.0+)
torchvision 0.2.0
"networks/ESNet.py" and "networks/ESNet_M.py" contains the implementation of the proposed efficient stereo matching network.
To train the ESNet on SceneFlow dataset, you will need to modify the path to the dataset in the "exp_configs/esnet_sceneflow.conf". Then run
dnn=esnet_sceneflow bash train.sh
If you find the code and paper is useful in your work, please cite
@misc{huang2021esnet,
title={ES-Net: An Efficient Stereo Matching Network},
author={Zhengyu Huang and Theodore B. Norris and Panqu Wang},
year={2021},
eprint={2103.03922},
archivePrefix={arXiv},
primaryClass={cs.CV}
}