AN EXPLAINABLE CONVOLUTIONAL AUTOENCODER MODEL FOR UNSUPERVISED CHANGE DETECTION

7 citations as recorded by crossref.

1. XChange: An Explainable Dynamic Convolutional Autoencoder for Unsupervised Change Detection L. Bergamasco & F. Bovolo 10.1109/TGRS.2025.3606297
2. Novel statistical downscaling emulator for precipitation projections using deep Convolutional Autoencoder over Northern Africa H. Babaousmail et al. 10.1016/j.jastp.2021.105614
3. Grad-SLAM: Explaining Convolutional Autoencoders’ Latent Space of Satellite Image Time Series T. Di Martino et al. 10.1109/LGRS.2023.3302906
4. A Total Variation Regularized Bipartite Network for Unsupervised Change Detection L. Hu et al. 10.1109/TGRS.2022.3224293
5. An Advanced Dirichlet Prior Network for Out-of-Distribution Detection in Remote Sensing J. Gawlikowski et al. 10.1109/TGRS.2022.3140324
6. PRBCD-Net: Predict-Refining-Involved Bidirectional Contrastive Difference Network for Unsupervised Change Detection L. Hu et al. 10.1109/TGRS.2023.3314217
7. Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing A. Höhl et al. 10.1109/MGRS.2024.3467001