Chang, Sung-En, Li, Yanyu, Sun, Mengshu, Jiang, Weiwen, Liu, Sijia, Wang, Yanzhi, and Lin, Xue. RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions. Retrieved from https://par.nsf.gov/biblio/10323473. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . Web. doi:10.1109/ICCV48922.2021.00520.

Chang, Sung-En, Li, Yanyu, Sun, Mengshu, Jiang, Weiwen, Liu, Sijia, Wang, Yanzhi, & Lin, Xue. RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), (). Retrieved from https://par.nsf.gov/biblio/10323473. https://doi.org/10.1109/ICCV48922.2021.00520

Chang, Sung-En, Li, Yanyu, Sun, Mengshu, Jiang, Weiwen, Liu, Sijia, Wang, Yanzhi, and Lin, Xue. "RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions". Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (). Country unknown/Code not available. https://doi.org/10.1109/ICCV48922.2021.00520. https://par.nsf.gov/biblio/10323473.

@article{osti_10323473,
place = {Country unknown/Code not available}, title = {RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions}, url = {https://par.nsf.gov/biblio/10323473}, DOI = {10.1109/ICCV48922.2021.00520}, abstractNote = {}, journal = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, author = {Chang, Sung-En and Li, Yanyu and Sun, Mengshu and Jiang, Weiwen and Liu, Sijia and Wang, Yanzhi and Lin, Xue}, }