UMDA: Lightweight and Efficient Crack Segmentation Model
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Date
2026Author
Han, Beilin
Zhang, Yihang
Huang, Chuyue
Ding, Wei
Liu, Zhiwei
Deng, Hongyang
Wu, Jie
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AbstractEfficient crack detection is vital for infrastructure safety, yet many deep learning
models sacrifice practicality for precision, demanding resources beyond the reach
of field-deployable devices. This paper presents UMDA (U-MobileNetV3-DECA-AUX), ...