guanyuezhen / a2net

Lightweight Remote Sensing Change Detection with Progressive Aggregation and Supervised Attention (IEEE TGRS 2023)

Hi 👋, I'm guanyuezhen

My visitor

I am a Ph.D. student in School of Computer Science, China University of Geosciences, Wuhan (CUG), since 2021, supervised by Prof. Chang Tang. Before that, I received B.S. and M.S. from China University of Geosciences, Wuhan, in 2018 and 2021, respectively.

📦 Project

Name	A short summary
UFCD	A Pytorch-based toolbox for three different change detection tasks, including binary change detection (BCD), semantic change detection (SCD), and building damage assessment (BDA).

a2net's Issues

Does this accompany a paper?

Had a search. couldn't find it

list

作者，你好！你可以具体展示以下list文件夹下面的.txt文件的内容吗，我不是特别理解ls -R ./label/* > test.txt，是把A，B，label这三个文件夹里的图片的名称都放入这一个txt文件里面吗

Training weights for other networks

I think your work is very good. Like you, I have done similar work on these three public datasets. Can you provide me with the training weights of several networks you compared on these three datasets? Because it takes a lot of time to repeat this work. I will be very grateful!

文章

作者你好，文章可以发我一下吗

batchsize

Why as the batch_size decreases, the training time also decreases, shouldn't it be that the larger the batch_size, the smaller the training time?The time cost is 2.118h when the batch_size is 16 and 3.926h when the batch_size is 32.

您好，请问为什么我两分钟就训完了，测试结果和论文结果一样样的，是不是有点不正常

About loss and F1 for an image pair which has exact same image

Thanks for your great work!

I prepared a image dataset for training and testing. Besides the change dataset, which contains many changed image pairs. It also contains some image pair without changes, the label of which is all black pixels because there isn't any change. I did this in order to let the net to learn both changing and non-changing situations.

But! I found that the all black pixel label will cause F1 become 0, and big loss. This is not out expectation! We thought the images are the same, the ground thuth label image is black, then the output should be black either.

Is there something wrong with the Loss function? Sorry for my misunderstanding!

Thanks!

作者您好，请问你可以给一份CDNet在LEVIR,BCDD,SYSU上的可视化结果吗？谢谢！