Qiang Wang, Shizhen Zheng, Qingsong Yan, Fei Deng, Kaiyong Zhao, Xiaowen Chu 0001. IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation. In 2021 IEEE International Conference on Multimedia and Expo, ICME 2021, Shenzhen, China, July 5-9, 2021. pages 1-6, IEEE, 2021. [doi]
@inproceedings{WangZYDZ021,
title = {IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation},
author = {Qiang Wang and Shizhen Zheng and Qingsong Yan and Fei Deng and Kaiyong Zhao and Xiaowen Chu 0001},
year = {2021},
doi = {10.1109/ICME51207.2021.9428423},
url = {https://doi.org/10.1109/ICME51207.2021.9428423},
researchr = {https://researchr.org/publication/WangZYDZ021},
cites = {0},
citedby = {0},
pages = {1-6},
booktitle = {2021 IEEE International Conference on Multimedia and Expo, ICME 2021, Shenzhen, China, July 5-9, 2021},
publisher = {IEEE},
isbn = {978-1-6654-3864-3},
}