A systematic review of deep learning approaches for surface defect detection in industrial applications

R Ameri, CC Hsu, SS Band - Engineering Applications of Artificial …, 2024 - Elsevier
Detecting surface defects plays a crucial role in ensuring the quality, functionality, and
security of the production process. Traditional image processing techniques and machine …

A survey of real-time surface defect inspection methods based on deep learning

Y Liu, C Zhang, X Dong - Artificial Intelligence Review, 2023 - Springer
In recent years, deep learning methods have been widely used in various industrial
scenarios, promoting industrial intelligence. Real-time surface defect inspection of industrial …

Defect-aware transformer network for intelligent visual surface defect detection

H Shang, C Sun, J Liu, X Chen, R Yan - Advanced Engineering Informatics, 2023 - Elsevier
Surface defect detection plays an increasing role in intelligent manufacturing and product
life-cycle management, such as quality inspection, process monitoring, and preventive …

Efficient fused-attention model for steel surface defect detection

CC Yeung, KM Lam - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Steel surface defect detection is an essential quality control task in manufacturing. As
patterns of defects may be viewed as an object, some current defect detection methods …

A deep learning model for steel surface defect detection

Z Li, X Wei, M Hassaballah, Y Li, X Jiang - Complex & Intelligent Systems, 2024 - Springer
Industrial defect detection is a hot topic in the field of computer vision. It is a challenging task
due to complex features and many categories of industrial defects. In this paper, a deep …

An adaptive image segmentation network for surface defect detection

T Liu, Z He, Z Lin, GZ Cao, W Su… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Surface defect detection plays an essential role in industry, and it is challenging due to the
following problems: 1) the similarity between defect and nondefect texture is very high …

Improved single shot multibox detector target detection method based on deep feature fusion

D Bai, Y Sun, B Tao, X Tong, M Xu… - Concurrency and …, 2022 - Wiley Online Library
The feature layers of different layers in the single shot multibox detector (SSD) are
independently used as the input of the classification network, so it is easy to detect the same …

A photovoltaic surface defect detection method for building based on deep learning

Y Cao, D Pang, Y Yan, Y Jiang, C Tian - Journal of Building Engineering, 2023 - Elsevier
The inspection and diagnosis of building engineering involve health monitoring of buildings
and related facilities, and the utilization of renewable energy, such as solar energy, is crucial …

Intelligent detection of steel defects based on improved split attention networks

Z Hao, Z Wang, D Bai, B Tao, X Tong… - … in bioengineering and …, 2022 - frontiersin.org
The intelligent monitoring and diagnosis of steel defects plays an important role in improving
steel quality, production efficiency, and associated smart manufacturing. The application of …

A new cycle-consistent adversarial networks with attention mechanism for surface defect classification with small samples

L Wen, Y Wang, X Li - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Surface defect detection is the essential process to ensure the quality of products. Surface
defect classification (SDC) based on deep learning (DL) has shown its great potential …