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Gencer Sumbul, Begüm Demir
Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing
David Hoffmann, Kai Norman Clasen, Begüm Demir
Transformer-based Multi-Modal Learning for Multi-Label Remote Sensing Image Classification
Martin Hermann Paul Fuchs, Begüm Demir
HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods
Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Sašo Džeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider et al.
Artificial intelligence to advance Earth observation: a perspective
Steve Ahlswede, Christian Schulz, Christiano Gava, Patrick Helber, Benjamin Bischke, Michael Förster, Florencia Arias, Jörn Hees, Begüm Demir, Birgit Kleinschmit et al.
TreeSatAI Benchmark Archive: a Multi-Sensor, Multi-Label Dataset for Tree Species Classification in Remote Sensing
Gencer Sumbul, Begüm Demir
Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning
Tom Burgert, Mahdyar Ravanbakhsh, Begüm Demir
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification
Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Prof. Dr. Demir Begüm
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification
Tom-Lukas Breitkopf, Leonard W. Hackel, Mahdyar Ravanbakhsh, Anne-Karin Cooke, Sandra Willkommen, Stefan Broda, Begüm Demir
Advanced Deep Learning Architectures for Accurate Detection of Subsurface Tile Drainage Pipes from Remote Sensing Images
Tim Siebert, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir