This repository contains the source code for the following paper [1].
Considering the correlation between C&S channels, we propose a two-stage frame structure along with the channel semantic learning based JCASCasterNet, which yield gains in both extraction and reconstruction of channel semantic.
For more information, please visit our website: gaozhen16.github.io
If you have any questions, you can contact me by email: yifeizhang2000@foxmail.com
Run the main function in train/main.py
to start training. The core code of JCASCasterNet is in train/model.py
.
All code within this repository is under Apache License 2.0.