daifeng2016 / End-to-end-CD-for-VHR-satellite-image

The project aims to contribute to geoscience community
65 stars 21 forks source link

Question about training the model #16

Open mpegia opened 3 years ago

mpegia commented 3 years ago

I read your paper and the original of UNet++ and everything is clear to me apart from how I can I train the network using a new dataset. There is the option of deep supervision in which the nework takes the co-registered image pairs (each has size 256x256x6) concatenated and as output the [nestnet_output_1, nestnet_output_2, nestnet_output_3, nestnet_output_4, nestnet_output_5], with each output dimension of 256x256x1. I would like to reproduce your experiments with deep supervision. It is clear to me what the input should be, but I fail to understand what the output should be. Specifically, how can I produce these 4 output matrices. In the dataset from Lebedev only one grayscale image was used as output, and each pixel of this image was produced from subtracting the two input images.

AhmedLotfy02 commented 5 months ago

Hi @mpegia did you solve this problem?