Abstract Network Architecture Search (NAS) automates hyperparameter adjustments in
deep learning models, offering a potent solution for building intelligent fault diagnosis …

The essence of the difficulties for weld surface detection is that there is a lot of interference
information during detection. This study aims to enhance the detection accuracy while …

Polycrystalline silicon panels (PSPs) hold immense significance in the photovoltaic industry,
with their surface quality profoundly impacting optical performance. Hence, online visual …

Defect segmentation is a vital approach to ensure the quality of steel. Convolutional neural
network (CNN) has significantly enhanced steel defect segmentation performance …

In order to solve the problem of difficult deployment of existing deep learning-based defect
detection models in terminal equipment with limited computational capacity, a lightweight …

To improve the detection accuracy of surface defects in dental nails in the current medical
manufacturing industry, while reducing the model size and making it easy to deploy on …

Abstract Domain adaptive defect detection aims to identify defects in an unlabeled target
dataset by leveraging an annotated source dataset that shares similarities. This task poses a …

A lightweight wind turbine blade surface multiple class defect detection algorithm based on
You Only Look Once version 5 (YOLOv5) is proposed to address the issues of low accuracy …

Surface defects in industrial products can significantly impact their reliability and lifespan.
However, due to the complexity of industrial settings and the diversity of products, the …

To meet the growing demand for lightweight models and rapid defect detection in mini-light
emitting diode (LED) chip manufacturing, we developed a highly efficient and lightweight …