htqin IR-Net issues - Githubissues

htqin / IR-Net

[CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

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Infference speed

#20 imsotable opened 2 years ago
2
Error about devices

#19 Harr7y closed 6 months ago
2
k和t根本不会更新吧

#18 pppLang closed 3 years ago
1
I wonder why ResNet-18 outperform ResNet-20 by such a large margin

#17 GarrettLee closed 3 years ago
1
imagenet training

#16 black2tulips opened 3 years ago
0
Can you please opensource your code of real deployment?

#15 hattori7243 opened 3 years ago
2
Downsamples

#14 guhyunkim opened 3 years ago
0
training

#13 black2tulips opened 3 years ago
0
Questions about training

#12 sleeplessai closed 3 years ago
1
Low CIFAR10 accuracy

#11 ayseserbetci opened 4 years ago
0
Without binarizing the downsample layer for ResNet on ImageNet

#10 liyunqianggyn closed 4 years ago
1
ResNet34

#9 zhaoguochuan closed 4 years ago
1
Different training settings with VGG-Small in LQ-Nets, and cannot reach 90.4%?

#8 licj15 closed 4 years ago
2
Downsample quantization

#7 brianchmiel closed 4 years ago
1
Details about ImageNet experiments setting

#6 licj15 closed 4 years ago
2
Is there a special way to train on ImageNet with the yaml file?

#5 licj15 closed 4 years ago
4
a bug using multiple GPUS

#4 Haleski47 closed 4 years ago
2
The value of k and t

#3 huangdi95 closed 4 years ago
4
RuntimeError: arguments are located on different GPUs at /opt/conda/conda-bld/pytorch_1533672544752/work/aten/src/THC/generated/../generic/THCTensorMathPointwise.cu:314

#2 WesLee88524 closed 4 years ago
1
a bug when runing the resNet20_1W1A - cifar10 dataset

#1 Haleski47 closed 4 years ago
0