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cecret3350
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DEA-Net
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
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CGA fusion
#25
Fire-friend
opened
1 month ago
0
high-level features and low-level features
#24
Liusir765832
opened
1 month ago
0
训练出现RuntimeError: Tensor for argument #2 'weight' is on CPU, but expected it to be on GPU (while checking arguments for cudnn_batch_norm)的问题
#23
ouyangxi0925
opened
3 months ago
1
怎么把自己训练出来的模型用来评估
#22
ZHB2333
closed
3 months ago
0
关于重参数化reparam.py文件
#21
unihuihui
opened
4 months ago
4
您好,请问Fusion模块中,您如何解释(1-W)的作用或目的?
#20
planktont
closed
4 months ago
1
模型训练参数
#19
ChengchengFU
closed
4 months ago
7
Backbone和Backbone_train有什么区别,为什么单独分开
#18
qqbangbangbang
closed
4 months ago
3
模型训练问题
#17
Baekstar
opened
5 months ago
6
模型验证问题
#16
weiMytian
opened
6 months ago
4
模型验证问题
#15
Lxh1992
closed
5 months ago
3
作者您好,为何用code/train.py 训练后生成的是.pk文件而不是.pth文件,然后使用eval.py运行的时候在加载网络的时候报错
#14
xuexisuanfa
closed
4 months ago
1
ask for the train code
#13
ZeHeru
closed
4 months ago
1
About DEConv and train code
#12
lyx624
closed
4 months ago
2
作者你好,现在是2023.9.8日
#11
zzhlovexuexi
closed
4 months ago
1
DEConv
#10
Marinerjl
closed
1 year ago
1
DEBLOCK
#9
DFD1
closed
1 year ago
1
DEBlock
#8
aoe-wyb
closed
4 months ago
2
DEConv
#7
liux520
closed
1 year ago
1
About training settings
#6
xtxherry
closed
1 year ago
2
About the training code
#5
kkllww
closed
4 months ago
3
hello,After reading your code and paper, I found that the DEConv in the code is done by a 3x3 channel invariant convolution, I can't relate to the four difference convolutions and a Vanilla Convolution in the paper, can the author help me to solve this doubt please? Thank you very much.您好!在阅读了您的代码和论文后,发现代码中的DEConv仅由一个3x3通道不变的卷积完成,我无法与论文中四种差分卷积和Vanilla Convolution(香草卷积?普通卷积?PS:原谅我确实不太会翻译)联系起来,请问作者能否帮助我解决这个疑惑吗。非常感谢。真诚.jpg
#4
janice459
closed
1 year ago
1
DEBlock
#3
shangyuu
closed
1 year ago
1
A question about DEConv
#2
hushuaiouc
closed
1 year ago
1
Fix typo in README.md
#1
eltociear
closed
1 year ago
0