DRGS: Low-Precision Full Quantization of Deep Neural Network with Dynamic Rounding and Gradient Scaling for Object Detection

Qiaojun Wu, Yuan Li, Song Chen, Yi Kang. DRGS: Low-Precision Full Quantization of Deep Neural Network with Dynamic Rounding and Gradient Scaling for Object Detection. In Ying Tan 0002, Yuhui Shi, editors, Data Mining and Big Data - 7th International Conference, DMBD 2022, Beijing, China, November 21-24, 2022, Proceedings, Part I. Volume 1744 of Communications in Computer and Information Science, pages 137-151, Springer, 2022. [doi]

@inproceedings{WuLCK22-0,
  title = {DRGS: Low-Precision Full Quantization of Deep Neural Network with Dynamic Rounding and Gradient Scaling for Object Detection},
  author = {Qiaojun Wu and Yuan Li and Song Chen and Yi Kang},
  year = {2022},
  doi = {10.1007/978-981-19-9297-1_11},
  url = {https://doi.org/10.1007/978-981-19-9297-1_11},
  researchr = {https://researchr.org/publication/WuLCK22-0},
  cites = {0},
  citedby = {0},
  pages = {137-151},
  booktitle = {Data Mining and Big Data - 7th International Conference, DMBD 2022, Beijing, China, November 21-24, 2022, Proceedings, Part I},
  editor = {Ying Tan 0002 and Yuhui Shi},
  volume = {1744},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-19-9297-1},
}