Deep-learning-based anomaly detection for lace defect inspection employing videos in production line

Automatic fabric defect detection using a wide-and-light network

(2021) Jun Wu et al.   APPLIED INTELLIGENCE

Autoencoder-based anomaly detection for surface defect inspection

(2021) Du-Ming Tsai et al.   ADVANCED ENGINEERING INFORMATICS

Automated Visual Defect Detection for Flat Steel Surface: A Survey

(2020) Qiwu Luo et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Deep Metallic Surface Defect Detection: The New Benchmark and Detection Network

(2020) Xiaoming Lv et al.   SENSORS

Fabric defect detection based on a deep convolutional neural network using a two-stage strategy

(2020) Xiang Jun et al.   TEXTILE RESEARCH JOURNAL

An Efficient Convolutional Neural Network Model Based on Object-Level Attention Mechanism for Casting Defect Detection on Radiography Images

(2020) Chuanfei Hu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Nondestructive Defect Detection in Castings by Using Spatial Attention Bilinear Convolutional Neural Network

(2020) Zhenhui Tang et al.   IEEE Transactions on Industrial Informatics

D4Net: De-deformation defect detection network for non-rigid products with large patterns

(2020) Xuemiao Xu et al.   INFORMATION SCIENCES

FFCNN: A Deep Neural Network for Surface Defect Detection of Magnetic Tile

(2020) Luofeng Xie et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Segmentation-based deep-learning approach for surface-defect detection

(2019) Domen Tabernik et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Image-based defect detection in lithium-ion battery electrode using convolutional neural networks

(2019) Olatomiwa Badmos et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Fabric Defect Detection Using L0 Gradient Minimization and Fuzzy C-Means

(2019) Huanhuan Zhang et al.   Applied Sciences-Basel

Automatic Fabric Defect Detection Using Learning-Based Local Textural Distributions in the Contourlet Domain

(2018) Daniel Yapi et al.   IEEE Transactions on Automation Science and Engineering

Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model

(2018) Shuang Mei et al.   SENSORS

A Generic Deep-Learning-Based Approach for Automated Surface Inspection

(2018) Ruoxu Ren et al.   IEEE Transactions on Cybernetics

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A novel ensembled technique for anomaly detection

(2017) Sahil Garg et al.   INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

Yarn-dyed fabric defect classification based on convolutional neural network

(2017) Junfeng Jing et al.   OPTICAL ENGINEERING

Textural fabric defect detection using statistical texture transformations and gradient search

(2014) M. Alper Selver et al.   JOURNAL OF THE TEXTILE INSTITUTE

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS