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20232026
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cs.CV2026

ST-LoRA: Single Trajectory LoRA Ensemble for Uncertainty Aware Agricultural Segmentation

Mohamed Farag, Genc Hoxha, Yahia Maleki +2

Reliable decision-support in digital agriculture requires accurate predictions and well-calibrated uncertainty estimates, particularly for dense prediction tasks such as semantic s…

cs.CV2026

An assessment of data-centric methods for label noise identification in remote sensing data sets

Felix Kröber, Genc Hoxha, Ribana Roscher

Label noise in the sense of incorrect labels is present in many real-world data sets and is known to severely limit the generalizability of deep learning models. In the field of re…

cs.CV2025

Self-Supervised Cross-Modal Text-Image Time Series Retrieval in Remote Sensing

Genc Hoxha, Olivér Angyal, Begüm Demir

The development of image time series retrieval (ITSR) methods is a growing research interest in remote sensing (RS). Given a user-defined image time series (i.e., the query time se…

cs.CV2024

Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval

Genc Hoxha, Gencer Sumbul, Julia Henkel +2

Deep metric learning (DML) has shown to be effective for content-based image retrieval (CBIR) in remote sensing (RS). Most of DML methods for CBIR rely on a high number of annotate…

cs.CV2023

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…