haithanhp

ImageNet reproduce results in paper

14

Hi, Thanks for your great implementation of DARTS. I am trying to reproduce your reported results in paper for ImageNet. I ran train_search for Cifar10 and searched new architecture: DARTS_V3...

Why model storage memory takes a huge amount of space?

2

Hi, I see your saved models for imageNet are very huge (**48.2MB**) while in the code they are **4.9MB** (#parameters). I also double checked MobileNet v2 only **14.02MB** on Pytorch....

Code for Visualization of Fig 6 & 7 in the paper

2

Hi @icoz69 , Thanks for your great work!! I am impressed by your visualization **Fig 6 & 7** in the [paper](https://arxiv.org/pdf/2003.06777.pdf) to explain matching patches of images. Do you have...

Dear @kirthevasank, Thanks for your great implementation. I try to run the code with **demos/demo_cnn.py**. But I see X1, X2 is empty to compute the distance, leading to a bug...

Slimming DenseNet

7

Hi @liuzhuang13, Thank you for a great work. I saw that you leveraged scaling factors of Batch normalization to prune incoming and outgoing weights at conv layers, However in DenseNet...

Dear @cooooorn , Thanks for your helpful implementation. I have 2 following concerns about class BinConv2d: - This line: self.weight = nn.Parameter(torch.IntTensor(out_channels, 1 + ( in_channels * self.kernel_size[0] * self.kernel_size[1]...

Hi @SimJeg , Thanks for your great work. I have the following concerns: 1. How many epochs to get the model convergent on camvid data? 2. In the paper, you...

Hi @czhu95 , Thanks for your interesting work. I ran your code to reproduce your results of resnet on Cifar-10 from scratch. However I see the results are not similar...

Unable to extract VGGFace2-HQ zip file

2

Hi, Thanks for great implementation. However, I am unable to extract these data. They are in different format. Could you show how to extract them to see image files? Thanks