AFQSeg: An Adaptive Feature Quantization Network for Instance-Level Surface Crack Segmentation

AFQSeg: An Adaptive Feature Quantization Network for Instance-Level Surface Crack Segmentation

Concrete surface crack detection plays a crucial role in infrastructure maintenance and safety. Deep learning-based methods have shown great potential in this task. However, under real-world conditions such as poor image quality, environmental interference, and complex crack patterns, existing model...

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Bibliographic Details
Main Authors: Shaoliang Fang, Lu Lu, Zhu Lin, Zhanyu Yang, Shaosheng Wang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Computers
Subjects:
surface crack detection
adaptive feature quantization
deep learning model
accuracy enhancement
Online Access:https://www.mdpi.com/2073-431X/14/5/182
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