Closing the Domain Gap: Can Pseudo-Labels from Synthetic UAV Data Enable Real-World Flood Segmentation?

Closing the Domain Gap: Can Pseudo-Labels from Synthetic UAV Data Enable Real-World Flood Segmentation?

We present a novel methodology for generating and filtering synthetic Unmanned Aerial Vehicle (UAV) flood imagery to enhance the generalization capabilities of segmentation models. Our framework combines text-to-image synthesis and image inpainting, using curated prompts and real-world segmentation...

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Bibliographic Details
Main Authors: Georgios Simantiris, Konstantinos Bacharidis, Costas Panagiotakis
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
unsupervised image segmentation
deep learning
pseudo-labels
flood segmentation
unmanned aerial vehicles
image inpainting
Online Access:https://www.mdpi.com/1424-8220/25/12/3586
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https://www.mdpi.com/1424-8220/25/12/3586

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