this paper encompasses typical datasets and evaluation metrics used in industrial product defect detection, traces the development history of supervised one-stage and two-stage object detection algorithm-based and unsupervised algorithm-based industrial defect detection methods, discusses major challenges, and...
Defect detection of industrial products is a critical technology for ensuring product quality. Reconstruction methods based on deep networks have gained popularity as effective detection methods. Networks that reconstruct images by learning normal picture representations exhibit a strong ability to generalize ...
Deep-learning-based industrial defect detection methods play an increasingly important role in intelligent manufacturing, as they provide compelling benefits in reducing the cost spent on manual product inspection, while improving inspection accuracy and efficiency. They have been widely used in various man...
What makes a good data augmentation for few-shot unsupervised image anomaly detection?[CVPRW 2023] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection[2023][code] Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction[2023][code]...
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping [CVPR 2024] Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network [CVPR 2024][code] Real-IAD: A Real-World Multi-view Dataset for Benchmarking Versatile...
The images that constitute the dataset were captured using a single industrial monocular camera and placed at the other end, at the back of the bottle, a white LED light with a homogenization panel so that the projected light does not saturate and block the detection of defects. Sign in to...
Surface defect detection of industrial components based on vision ArticleOpen access13 December 2023 Introduction Given the growing complexity of printed circuit board assembly (PCBA) design due to the growing number of functional modules, the PCBA inspection deserves to be prioritized as a way to gua...
Compared with the more than 14 million sample data in the ImageNet dataset, the most critical problem faced in surface defect detection is small sample problem. In many real industrial scenarios, there are even only a few or dozens of defective images. In fact, for the small sample problem ...
Bai, X., Fang, Y., Lin, W., Wang, L., Ju, B.F.: Saliency-based defect detection in industrial images by using phase spectrum. IEEE Trans. Ind. Inform. 10, 2135–2145 (2014) Article Google Scholar Borwankar, R., Ludwig, R.: An optical surface inspection and automatic classificat...
A PRISMA Driven Systematic Review of Publicly Available Datasets for Benchmark and Model Developments for Industrial Defect Detection no code yet • 11 Jun 2024 Recent advancements in quality control across various industries have increasingly utilized the integration of video cameras and image ...