548 citations · 1.2k across the 34 of their papers we have counts for
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Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning
Gencer Sumbul, Begüm Demir
The development of deep learning based image representation learning (IRL) methods has attracted great attention for various image understanding problems. Most of these methods req…
Deep Active Learning for Multi-Label Classification of Remote Sensing Images
Lars Möllenbrok, Gencer Sumbul, Begüm Demir
In this letter, we introduce deep active learning (AL) for multi-label classification (MLC) problems in remote sensing (RS). In particular, we investigate the effectiveness of seve…
Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing
Tim Siebert, Kai Norman Clasen, Mahdyar Ravanbakhsh +1
With the new generation of satellite technologies, the archives of remote sensing (RS) images are growing very fast. To make the intrinsic information of each RS image easily acces…
Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing
Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
The development of cross-modal retrieval systems that can search and retrieve semantically relevant data across different modalities based on a query in any modality has attracted…
Coreset of Hyperspectral Images on Small Quantum Computer
Soronzonbold Otgonbaatar, Mihai Datcu, Begüm Demir
Machine Learning (ML) techniques are employed to analyze and process big Remote Sensing (RS) data, and one well-known ML technique is a Support Vector Machine (SVM). An SVM is a qu…
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing
Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
The development of accurate and scalable cross-modal image-text retrieval methods, where queries from one modality (e.g., text) can be matched to archive entries from another (e.g.…