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Source code and datadset for "Deep learning algorithm for feature matching of cross modality remote sensing images"
Nice work. Do you mind providing code to train the network with a custom dataset?
Thanks
Hi, would you mind uploading a link for this paper in English?
Thanks
下载d2_tf文件时无法解析主机地址,dsmn.ml也无法进入
Can you share the paper of your code... I did not found pdf on google or anywhere on the Internet.
mkdir models
wget https://dsmn.ml/files/d2-net/d2_tf.pth -O models/d2_tf.pth
When I using a list to batch process multiple pairs of images, I found that changing the position of the images in the list resulted in different results each time.
mkdir models
wget https://dsmn.ml/files/d2-net/d2_tf.pth -O models/d2_tf.pth
Hi Sir,
Thanks for publishing your work, it is very interesting to review.
One question I have is about the time when testing network configuration.
You are using D2-Net models but this model should be used for correspondences
problem. So this model is trained with building images. How did you
achieve such successful results in satellite images? What do I need to change in the network?
您好,论文中的遥感影像训练数据集是有真值点的吗
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