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
2. Grad-SLAM: Explaining Convolutional Autoencoders’ Latent Space of Satellite Image Time Series T. Di Martino et al.
3. Bi-temporal change detection for topographic map updates using panoptic segmentation of VNIR orthophotos and LiDAR data M. Adamiak et al.
4. A Total Variation Regularized Bipartite Network for Unsupervised Change Detection L. Hu et al.
5. An Advanced Dirichlet Prior Network for Out-of-Distribution Detection in Remote Sensing J. Gawlikowski et al.
6. PRBCD-Net: Predict-Refining-Involved Bidirectional Contrastive Difference Network for Unsupervised Change Detection L. Hu et al.
7. Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing A. Höhl et al.