Yanfeng-Zhou/XNet
[ICCV2023] XNet: Wavelet-Based Low and High Frequency Merging Networks for Semi- and Supervised Semantic Segmentation of Biomedical Images
PythonMIT
Issues
- 8
关于CREMI数据输入预处理
#7 opened by VinyehShaw - 6
The size of tensor a (16384) must match the size of tensor b (49152) at non-singleton dimension 1
#25 opened by HHDAW - 4
About data preprocess and final predict
#11 opened by Jonydom - 4
- 4
About training time
#23 opened by s0mnus112 - 2
About distributed training
#22 opened by s0mnus112 - 0
- 1
Wavelet transform on a 3D image
#20 opened by OCEANOUXIN - 0
Thanks for u work, i have some question about the different wavelet bases in ablation studies.
#19 opened by Fortuneteller6 - 2
train 2D Xnet question
#18 opened by Ystartff - 19
About train GlaS Dataset
#8 opened by kirk0221 - 1
About test threshold
#17 opened by QuintinDong - 1
About preprocessing of datasets
#15 opened by Yuanqin-He - 5
About model training in LiTS
#16 opened by Seconight - 1
About loss_function
#10 opened by Seconight - 7
About wavelet3D.py
#6 opened by Seconight - 1
About test_xnet3d.py evaluation metrics
#14 opened by QuintinDong - 1
Question about the loss calculation.
#13 opened by windygoo - 1
About mask input
#12 opened by sleepy1231 - 1
- 3
小波变换会造成图片尺寸变小
#2 opened by DreamerrW - 3
Wavelet transform
#4 opened by Ystartff - 2
About the final prediction
#3 opened by xuanli98 - 6
About model training
#1 opened by liaochuanlin