/StochasticityBW

PyTorch and Tensorflow implementation for our accepted CVPR 2020 paper (Oral): An Investigation into the Stochasticity of Batch Whitening

Primary LanguageShellBSD 2-Clause "Simplified" LicenseBSD-2-Clause

StochasticityBW

Code for reproducing the results of our accpeted CVPR 2020 paper (Oral): An Investigation of Stochasticity of Batch Whitening (arXiv:2003.12327), where we qualitatively and quantitively investigate the stochasticity caused by Batch Whitening (BW), during training and inference.

This repo provides the Pytorch and Tensorflow implementations of different whitening methods.

  • SBW_Classification_PyTorch: Pytorch project for reproducing the discriminative classification experiments
  • SBW_GAN_TF: Tensorflow project for reproducing the GAN experiments.

Citations

If you find this repo benefits your research, please consider citing:

@inproceedings{2020_CVPR_Huang,
  author    = {Lei Huang and Lei Zhao and Yi Zhou and Fan Zhu and Li Liu and Ling Shao},
  title     = {Iterative Normalization: Beyond Standardization towards Efficient Whitening},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2020},
  }

Contact

Email: huanglei@nlsde.buaa.edu.cn.