This is the code for "Building Change Detection using Cross-temporal Feature Interaction Network", which was accepted by ICASSP 2023. Based on a naive backbone (ResNet18) without sophisticated structures, our model outperforms other state-of-the-art methods on three datasets in terms of both efficiency and effectiveness. If you you encounter any doubts, please fell free to concact us: fyc@zjut.edu.cn or zjw@zjut.edu.cn.
