SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization

Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang. SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019. pages 11216-11225, Computer Vision Foundation / IEEE, 2019. [doi]

@inproceedings{CaoMXZLZNY19,
  title = {SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization},
  author = {Shijie Cao and Lingxiao Ma and Wencong Xiao and Chen Zhang and Yunxin Liu and Lintao Zhang and Lanshun Nie and Zhi Yang},
  year = {2019},
  url = {http://openaccess.thecvf.com/content_CVPR_2019/html/Cao_SeerNet_Predicting_Convolutional_Neural_Network_Feature-Map_Sparsity_Through_Low-Bit_Quantization_CVPR_2019_paper.html},
  researchr = {https://researchr.org/publication/CaoMXZLZNY19},
  cites = {0},
  citedby = {0},
  pages = {11216-11225},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019},
  publisher = {Computer Vision Foundation / IEEE},
}