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

2025-04-21

Abstract excerpt

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 masks to produce diverse and realistic flood scenes. To overcome the lack of human annotations, we employ an unsuperv...

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Literature Corpus work
e33e764d-9e7c-5237-827d-ef66e2626fdb
DOI
10.20944/preprints202504.1563.v1
Open publication

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Closing the Domain Gap: Can Pseudo-Labels from Synthetic UAV Data Enable Real-World Flood Segmentation?DOI 10.20944/preprints202504.1563.v1
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