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synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Flotzinger, Johannes, Deuser, Fabian, Jaziri, Achref, Neumann, Heiko, Oswald, Norbert, Ramesh, Visvanathan, Braml, Thomas
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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