XNet icon indicating copy to clipboard operation
XNet copied to clipboard

[ICCV2023] XNet: Wavelet-Based Low and High Frequency Merging Networks for Semi- and Supervised Semantic Segmentation of Biomedical Images

Results 16 XNet issues
Sort by recently updated
recently updated
newest added

As title, why u choose to select these wavelet bases as the comparision. Thanks.

Hello! I would like to know how your mean and std are calculated if training other datasets, because I see that in semi-supervised learning, the unlabelled and labelled files contain...

I had a problem learning XNet, your great research. The GlaS dataset, a 2D image, was preprocessed using wavelet2D.py to obtain LF and HF images of [1,128,128] testers, respectively. After...

Thanks to the authors for their work! May I ask how much you set the threshold in parser.add_argument('--threshold', default=None) during testing to achieve the best result? I changed None to...

Excuse the author, I browsed your test_xnet3d.py,but didn't find where your evaluation metrics (dice,jaccard,hd,asd) are calculated? I would be grateful for your answer!

作者您好!请问mask的输出应该是什么样的?也就是在dataset_2d.py中180行左右的: augment_1 = self.augmentation_1(image=img_1, image2=img_2, mask=mask) img_1 = augment_1['image'] img_2 = augment_1['image2'] mask = augment_1['mask'] normalize_1 = self.normalize_1(image=img_1, mask=mask) img_1 = normalize_1['image'] mask = normalize_1['mask'] mask = mask.long() ..... sampel...

你好,作者大大!看完你们的工作,我大受启发。但我有几个疑惑的小问题。 第一个问题是我看到您在处理数据的时候使用的是离线的方式,为什么小波变换不做成在线的数据增强呢?是io方面的顾虑嘛? 第二个问题是normalization的时候,针对每个数据集都有一个不同的mean和std,我想请问一下这个数值的计算方式是怎么做的呢?如果只用自然图像ImageNet的mean和std会有很大影响嘛? 第三个问题是如果我使用这个模型去做测试的话,既然是离线的方式把数据转换为小波变换后的图像,那我要在把RGB原始图像送入模型之前还要多一步离线处理嘛? 期待您的答复,祝您科研顺利!

Thanks for your work! I have a question when I reproduce your network. When I used 'haar' wavlet basis to process 512*512 images, I got 256*256 outputs. But using other...

HI! Congratulations on your successful submission,I checked your xnet.py and found that there are no wavelets in it, but I found that they are provided in your wavelet2D.py, is your...