Whether the method can be applied to 2D data sets 方法能否运用到2D数据集上

[yaoliu0803]

Hello, This is an excellent work! I'm doing a county study on cross-modal image registration. I would like to ask if your method can be applied to 2d cross-mode image registration, such as infrared and visible light images?
If so, how should you modify the network model section?

[XiongchaoChen]

Sure, you can easily apply this framework to 2D images. Just update all the 3D operators (conv3d, maxpool3d, etc.) with the corresponding 2D ones (conv2d, maxpool2d, etc.). Also, remember to re-calculate the vector size/length based on your image size in the fully connected layers.

[yaoliu0803]

Thank you for your reply. Is this an unsupervised method?

[XiongchaoChen]

No problem. It is supervised. Unsupervised manner is challenging for the cross-modal image registration, since it is hard to quantify the registration goodness between the registered and target images when they are of different modalities. Superised learning is more common for mono-modal registration. Hope this helps :)