Nadavc220
Nadavc220
Hi, from my understanding the memory module is a matrix which holds for each row the mean latent vector for each class (or - its centroid) over the source data....
As I understand from the code, instead if using the Domain Factor network for weighting the memory value as explained in the paper, you train a "Concept Selector" and a...
Hi, First of all thanks for this repository. The approach in this article is very interesting. I have a few questions about the implementation: 1) The training session in main.py...
When training the model you are initialzing the model weights with the weights found here: 'http://vllab.ucmerced.edu/ytsai/CVPR18/DeepLab_resnet_pretrained_init-f81d91e8.pth' The paper states that the initial baseline is a Deeplab pre-trained on ImageNet dataset....
Hi, Thanks for this contribution, the code is very easy to read and use. My questions are: 1) The LS-GAN result of 44.1% mIoU was achieved by using a single-level...
First of all, thanks for creating this repo. It is very clear and easier to use than the original tensorflow model. I ran a few training experiments on VOC2012 and...
Hi, I ran the mrkld.sh script with the right data paths. I did not change anything else. The training process seems to have something wrong, The mIoU is going down...
Hi, After reading the paper I was expecting a ResNet-38 based implementation as it yielded the better results than DeepLabV2 but if I am not mistaken there is only a...
Hi, I am a bit confused about the fineSize parameter for the CycleGAN training process. In your Readme file found in the cycle-gan the fineSize mentioned for training is 452,...
First of all, thanks for this contribution. As some may have noticed, there is some inconsistency between the BDL repository and the CycleGAN repository which has updated since it was...