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Transformer-based Multi-Stage Enhancement for Remote Sensing Image Super-Resolution (accepted by TGRS)
When to open source code!
thks a lot.
Waiting for your kindly reply,
Regards,
你好,想问一下您有AID数据集下采样后的百度网盘吗。AID数据集是jpg文件,我下采样后保存为jpg文件就自动压缩了,所以下采样后是保存为png文件吗。
您好!读了您的论文之后我非常想尝试一下TransENet模型来适用于我现阶段的实验。
目前我已经收集了LR/HR影像对,但这些遥感影像尺寸较大为tif文件并且有24个波段,请问应该如何制作patches并且适用于您这里的网络呢?
期待您的回复!非常感谢!
Hi,Could you support the pretrained models about TransENet?Thanks.
I try to retrain the model,but there are some questions. The test results are so bad.
请问您测试结果是在Y通道测试还是在RGB通道测试
你好,我想问一下,论文里的数据集是按照您百度网盘提供的数据集进行训练的吗,您百度网盘提供的ucmerd数据集,验证集有105张,是按照10%的训练集划分的,不过今天才看到论文里面写的是20%的训练集作为验证集。所以想问一下。
Thank you for your excellent work, I would like to ask if you can provide me with a description of the number of model parameters. When I tested the x4 factor with an image of size (1,3,48,48), I found that it has 37.5 M. I would like to know if this is the correct number of parameters.
Looking forward to your reply!!!
您好,AID数据集的rgb_mean和rgb_std ,您有计算吗?我在代码里只看到rgb_mean = (0.4916, 0.4991, 0.4565) # UCMerced data
rgb_std = (1.0, 1.0, 1.0)
Excuse me, I can't find loss.pt after running demo_train, where did this loss weight come from?
Thanks for your great job introducing Transformer into remote sensing image SR!
About the dataset used in the paper, could you provide it directly? Is the UCMereced dataset split into two parts randomly?
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