The intelligent detection of pavement distress using deep learning methods has consistently
been a hotspot in pavement maintenance. This paper aims to offer new insights to promote …

Ensuring traffic safety is crucial, which necessitates the detection and prevention of road
surface defects. As a result, there has been a growing interest in the literature on the subject …

Most pavement crack detection methods based on deep learning rely too much on pixel-
wise labels, and are facing with sample imbalance problem. This paper proposes a three …

One of the focal points in industrial product defect detection lies in the utilization of deep
learning-based object detection algorithms. With the continuous introduction of these …

Automated defect detection in electroluminescence (EL) images of photovoltaic (PV)
modules on production lines remains a significant challenge, crucial for replacing labor …

An integrated data-centric portfolio is presented in this work to tailor the performance of the
deep learning method. The proposed portfolio includes attention mechanisms, feature …

Underwater images, as a crucial medium for storing ocean information in underwater
sensors, play a vital role in various underwater tasks. However, they are prone to distortion …

Surface defect detection (SDD) is the necessary technique to monitor the surface quality of
production. However, fine grain defects caused by stress loading, environmental influences …

Semantic segmentation of surface defects is essential to ensure product quality in intelligent
manufacturing. However, due to the diversity and complexity of industrial scenarios and …

Timely and accurate pavement crack detection plays a crucial role in urban transportation
and pavement management. Recently, deep learning-based pavement crack detection …