liuzechun/Bi-Real-net

Issues

• 请问你们提出的“Magnitude-aware gradient with respect to weights”和xnor中有什么区别？

  #13 opened 5 years ago by pppLang
  1

• Conv Layer backward computation

  #8 opened 6 years ago by adrianloy
  3

• a question about BinaryActivation

  #21 opened 2 years ago by etoilestar
  1

• Training log of the PyTorch version

  #20 opened 2 years ago by WenHao-L
  0

• Pre-trained Models

  #19 opened 2 years ago by LZHgrla
  0

• 输出权重为什么不是二值化的

  #4 opened 6 years ago by feifanzui
  3

• Could you provide the weights for your Bi-Real18 and 34?

  #14 opened 4 years ago by Wuziyi616
  0

• PyTorch Implementation: Forward Pass

  #18 opened 5 years ago by killawhale2
  2

• The downsample layer in basic block is not binarized?

  #10 opened 6 years ago by panda1949
  2

• 权重二值化问题

  #17 opened 5 years ago by lmy418lmy
  0

• Accuracy of ResNet-34 and ResNet-50

  #15 opened 5 years ago by iamhankai
  2

• Thank you for adding pytorch version!

  #16 opened 5 years ago by ShuaiZ1037
  0

• Implementation of PopCount(XNOR(a, w))

  #12 opened 5 years ago by CuauSuarez
  0

• How to binarize the weights and retrain the BN layers?

  #11 opened 5 years ago by qwn19970728
  0

• 权重梯度更新

  #3 opened 6 years ago by zzqiuzz
  0

• Implementation of pre-training

  #9 opened 6 years ago by physics2014
  9

• make caffe failed

  #6 opened 6 years ago by i-rabbit
  0

• 编译caffe文件时出错

  #7 opened 6 years ago by i-rabbit
  0

• ThresholdLayer backward computation

  #5 opened 6 years ago by albanjiang
  1

• About the file

  #2 opened 6 years ago by TiramisuJ
  2

• Thanks a lot

  #1 opened 6 years ago by genema
  0