Structured Binary Neural Networks for Image Recognition

created by Bohan Zhuang

If you use this code in your research, please cite our paper:

@inproceedings{zhuang2019structured,
  title={Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation},
  author={Zhuang, Bohan and Shen, Chunhua and Tan, Mingkui and Liu, Lingqiao and Reid, Ian},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={413--422},
  year={2019}
}

This is a simple implementation for imagenet classification.

pretrain.py: pretrain using Tanh()

finetune.py: finetune the binary model

model.py: define the model with softgates but without learnt scales. The pretrained model is resnet18_without_scales_with_softgates.pth.tar: Google Drive

model_ablation_1.py: define the model with softgates and learnt scales. The pretrained model is resnet18_with_scales_with_softgates.pth.tar: Google Drive

model_ablation_2.py: define the model without softgates but with learnt scales. The pretrained model is in Google Drive

new_layers.py: define necessary quantization functions

utils.py: define auxiliary functions

resnet34_without_softgates.pth.tar: pretrained model for ResNet-34 without softgates but with learnt scales, Google Drive

resnet34_with_softgates.pth.tar: pretrained model for ResNet-34 with softgates and learnt scales, Google Drive

Semantic segmentation and object detection

Please refer to semantic segmentation and object detection.

Copyright

Copyright (c) Bohan Zhuang. 2019

** This code is for non-commercial purposes only. For commerical purposes, please contact Chunhua Shen [email protected] **

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful,https://bitbucket.org/jingruixiaozhuang/group_net/src/master/README.md?mode=edit&spa=0&at=master&fileviewer=file-view-default# but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.