Zhaozixiang1228 / MMIF-CDDFuse

[CVPR 2023] Official implementation for "CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion."
349 stars 34 forks source link

some questions about paper and code #27

Open nlilin opened 8 months ago

nlilin commented 8 months ago

During the training phase, your paper does not appear to calculate the loss of the image gradient, but this is in the code; Although there are mse_loss and simm_loss of calculating images in the code, they do not participate in backpropagation; In addition, I did not see the lite_transformer mentioned in the paper in the code. I am very confused by this, and I appreciate it if you can correct and answer these questions.