Crack Detection of Concrete Based on Improved CenterNet Model
Huaiqiang Kang,
Fengjun Zhou,
Shen Gao
et al.
Abstract:Cracks on concrete surfaces are vital factors affecting construction safety. Accurate and efficient crack detection can prevent safety-related accidents. Using drones to photograph cracks on a concrete surface and detect them through computer vision technology has the advantages of accurate target recognition, simple practical operation, and low cost. To solve this problem, an improved CenterNet concrete crack-detection model is proposed. Firstly, a channel-space attention mechanism is added to the original mo… Show more
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