Enhancing Active Learning for Sentinel 2 Imagery through Contrastive Learning and Uncertainty Estimation

In this paper, we introduce a novel method designed to enhance label efficiency in satellite imagery analysis by integrating semi-supervised learning (SSL) with active learning strategies. Our approach utilizes contrastive learning together with uncertainty estimations via Monte Carlo Dropout (MC Dr...

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Hauptverfasser:	Pogorzelski, David, Arlinghaus, Peter, Zhang, Wenyan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
Online-Zugang:	Volltext bestellen
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