Grad-SLAM: Explaining Convolutional Autoencoders’ Latent Space of Satellite Image Time Series
Author:
Affiliation:
1. SONDRA Laboratory of CentraleSupélec, Université Paris-Saclay, Gif-Sur-Yvette, France
2. Département Traitement de l’Information et Systèmes, ONERA, Université Paris-Saclay, Palaiseau, France
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10210387.pdf?arnumber=10210387
Reference15 articles.
1. Grad-LAM: Visualization of Deep Neural Networks for Unsupervised Learning
2. GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
3. Time-Series of Sentinel-1 Interferometric Coherence and Backscatter for Crop-Type Mapping
4. AN EXPLAINABLE CONVOLUTIONAL AUTOENCODER MODEL FOR UNSUPERVISED CHANGE DETECTION
5. Grad-CAM: Why did you say that? Visual explanations from deep networks via gradient-based localization;selvaraju;arXiv 1610 02391,2016
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