Issues
- 1
Depth-wise convolutions
#36 opened by shekhovt - 2
Error occurred in loading resnet model.
#6 opened by BobZhang321 - 0
KD loss training
#35 opened by snownus - 0
Does KD_Loss need temperature?
#34 opened by XA23i - 1
How many gpus was used when running the experiments? This can affect results especially with batchnorm + torch.DataParallel
#33 opened by Phuoc-Hoan-Le - 1
I see scheduler.step() is being invoked right before the for loop in the train function or before training for one epoch
#32 opened by Phuoc-Hoan-Le - 1
Is 69.49% top1 ok with reactnet with mobilenet backbone with full-precision weights and binary activations?
#31 opened by Phuoc-Hoan-Le - 0
- 2
About the GPU memory consumption.
#26 opened by AlbertHuyb - 2
- 1
Question about the result of ReAct-ResNet
#29 opened by ThisisBillhe - 2
Binary weights
#27 opened by techmonsterwang - 3
- 1
Some questions in the code
#24 opened by THKIM-CAS - 2
Intermediate training results
#21 opened by sfalkena - 1
- 5
Question on Reported FLOPs
#17 opened by ooodragon94 - 1
Reported OPs
#23 opened by HatemSelim94 - 7
Regarding a line of codes
#10 opened by BNAadministrator3 - 2
About the learnerable bias parameter
#16 opened by zz-cloud - 1
Question about flops
#19 opened by TIEHua - 1
- 5
Training setup is different
#15 opened by resurgo97 - 1
- 2
param shape error of Model-ReAct-ResNet
#14 opened by ustczwq - 1
binary convolution's weight are not -1or 1.
#12 opened by yuxianzhi - 4
Why use torch.sign()?
#11 opened by theqihao - 6
- 1
- 0
- 1
- 1
The link is invalid
#4 opened by BobZhang321 - 0
- 2
Excuse me , why is your conv3x3 not DW conv?
#2 opened by loganyan - 7
About the computation complexity
#1 opened by ycjing