Zhe Wang, Jie Lin 0001, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar 0001. RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. In Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner, editors, Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XII. Volume 13672 of Lecture Notes in Computer Science, pages 157-172, Springer, 2022. [doi]
@inproceedings{WangLGAC22,
title = {RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization},
author = {Zhe Wang and Jie Lin 0001 and Xue Geng and Mohamed M. Sabry Aly and Vijay Chandrasekhar 0001},
year = {2022},
doi = {10.1007/978-3-031-19775-8_10},
url = {https://doi.org/10.1007/978-3-031-19775-8_10},
researchr = {https://researchr.org/publication/WangLGAC22},
cites = {0},
citedby = {0},
pages = {157-172},
booktitle = {Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XII},
editor = {Shai Avidan and Gabriel J. Brostow and Moustapha Cissé and Giovanni Maria Farinella and Tal Hassner},
volume = {13672},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-19775-8},
}