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 https://doi.org/10.1109/TGRS.2025.3606297
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4. A Total Variation Regularized Bipartite Network for Unsupervised Change Detection L. Hu et al. https://doi.org/10.1109/TGRS.2022.3224293
5. An Advanced Dirichlet Prior Network for Out-of-Distribution Detection in Remote Sensing J. Gawlikowski et al. https://doi.org/10.1109/TGRS.2022.3140324
6. PRBCD-Net: Predict-Refining-Involved Bidirectional Contrastive Difference Network for Unsupervised Change Detection L. Hu et al. https://doi.org/10.1109/TGRS.2023.3314217
7. Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing A. Höhl et al. https://doi.org/10.1109/MGRS.2024.3467001