%0 Conference Paper %1 conf/iccv/ChangLSJ0WL21 %A Chang, Sung-En %A Li, Yanyu %A Sun, Mengshu %A Jiang, Weiwen %A Liu, Sijia %A Wang, Yanzhi %A Lin, Xue %B ICCV %D 2021 %I IEEE %K dblp %P 5231-5240 %T RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. %U http://dblp.uni-trier.de/db/conf/iccv/iccv2021.html#ChangLSJ0WL21 %@ 978-1-6654-2812-5

@inproceedings{conf/iccv/ChangLSJ0WL21, added-at = {2023-09-30T00:00:00.000+0200}, author = {Chang, Sung-En and Li, Yanyu and Sun, Mengshu and Jiang, Weiwen and Liu, Sijia and Wang, Yanzhi and Lin, Xue}, biburl = {https://www.bibsonomy.org/bibtex/286961fc1620a1e7a8310f1dcba703c83/dblp}, booktitle = {ICCV}, crossref = {conf/iccv/2021}, ee = {https://doi.org/10.1109/ICCV48922.2021.00520}, interhash = {d973724e5006d7ec164719dfea178be9}, intrahash = {86961fc1620a1e7a8310f1dcba703c83}, isbn = {978-1-6654-2812-5}, keywords = {dblp}, pages = {5231-5240}, publisher = {IEEE}, timestamp = {2024-04-09T09:32:21.000+0200}, title = {RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions.}, url = {http://dblp.uni-trier.de/db/conf/iccv/iccv2021.html#ChangLSJ0WL21}, year = 2021 }