Enabling Real-Time, Cost-Efficient, and Lightweight High-Speed Crack Segmentation using Self-Supervised Attention Mechanism

Abstract This study proposes a lightweight and high-performance crack segmentation framework based on a MobileNet U-Net architecture, enhanced through self-supervised learning (SSL) and a multi-head attention mechanism. The encoder is pretrained using a self-supervised image inpainting task on grays...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Wei Wei, Muhammad Saqib, Haleema Ehsan, Abdullah I Al-Mansour, Tong Xinzhe, Ali Alhawiti, Shi Qiu, Qasim Zaheer
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2026-04-01
Edice:	International Journal of Computational Intelligence Systems
Témata:	Crack segmentation Crack detection Pavement cracks Efficient model Cost effective
On-line přístup:	https://doi.org/10.1007/s44196-026-01306-y
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!