PuzzleCAM

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about train details

3

i run the train classification.py with baseline resnet50,and only get the best train_miou 44.12%. which is lower than your result in paper 47.82%. i used four nvidia 1080ti, conld you...

mouzhengdong

How to visualize the cam map

3

Hi, I wonder how to visualize the cam map as your paper?

jimmy130

Hello, thank you for the great repository! It's pretty impressive how organized it is. I have a critic (or maybe a question, in case I got it wrong) regarding the...

lucasdavid

dear author: I notice that if the image size isn't 512 x 512, it will have some error. I use image size 1280 x 496 and i got tensor size...

hazy-wu

In Table 2 of your paper, the backbone of Affinitynet is resnet38. Why did you write resnet50? After my experiment, I found that RW result reached 65.42% for Affinitynet which...

songyukino1

Ask for details of the training process！

1

I am trying to train with ResNest101, and I also added affinity and RW. When I try to train, it runs according to the specified code. It is found that...

YuYue26

a pull request by mistake

1

NathanZhang1104

Hello, I want to know how you calculated the fg_threshold and bg_threshold in the code of make_affinity_labels, correct me if I am wrong, after running inference_classification.py, in the end, we...

avinashyaganapu

I want to make a visual camparison with PuzzleCAM, however, I cannot reimplemet the performance. For PuzzleCAM with ResNet50, only 48.53 mIOU can be obtained, which is lower than 51.53...

Sierkinhane

In you're code their is a conf loss (ShannonEntropyLoss) applied on the tiled logits. This is not mentionned in your paper, any reason for that ? What's the idea behind...

yohann84L