548 citations · 1.2k across the 31 of their papers we have counts for
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Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification
Barış Büyüktaş, Gencer Sumbul, Begüm Demir
Federated learning (FL) enables the collaboration of multiple deep learning models to learn from decentralized data archives (i.e., clients) without accessing data on clients. Alth…
Annotation Cost Efficient Active Learning for Content Based Image Retrieval
Julia Henkel, Genc Hoxha, Gencer Sumbul +2
Deep metric learning (DML) based methods have been found very effective for content-based image retrieval (CBIR) in remote sensing (RS). For accurately learning the model parameter…
Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing
Gencer Sumbul, Begüm Demir
Due to the publicly available thematic maps and crowd-sourced data, remote sensing (RS) image annotations can be gathered at zero cost for training deep neural networks (DNNs). How…
Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning
Barış Büyüktaş, Gencer Sumbul, Begüm Demir
The development of federated learning (FL) methods, which aim to learn from distributed databases (i.e., clients) without accessing data on clients, has recently attracted great at…