RPDNet: Automatic Fabric Defect Detection Based on a Convolutional Neural Network and Repeated Pattern Analysis

Unsupervised defect detection algorithm for printed fabrics using content-based image retrieval techniques

(2021) Xudong Hu et al.   TEXTILE RESEARCH JOURNAL

Automatic pixel-level crack segmentation in images using fully convolutional neural network based on residual blocks and pixel local weights

(2021) Raza Ali et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Defect detection and quantification in electroluminescence images of solar PV modules using U-net semantic segmentation

(2021) Lawrence Pratt et al.   RENEWABLE ENERGY

Unsupervised Learning with Generative Adversarial Network for Automatic Tire Defect Detection from X-ray Images

(2021) Yilin Wang et al.   SENSORS

Automatic Fabric Defect Detection Using Cascaded Mixed Feature Pyramid with Guided Localization

(2020) You Wu et al.   SENSORS

Mobile-Unet: An efficient convolutional neural network for fabric defect detection

(2020) Junfeng Jing et al.   TEXTILE RESEARCH JOURNAL

A Robust Fabric Defect Detection Method Based on Improved RefineDet

(2020) Huosheng Xie et al.   SENSORS

Automatic fabric defect detection using a deep convolutional neural network

(2019) Jun-Feng Jing et al.   COLORATION TECHNOLOGY

Multiscale Feature-Clustering-Based Fully Convolutional Autoencoder for Fast Accurate Visual Inspection of Texture Surface Defects

(2019) Hua Yang et al.   IEEE Transactions on Automation Science and Engineering

Unsupervised fabric defect detection based on a deep convolutional generative adversarial network

(2019) Guanghua Hu et al.   TEXTILE RESEARCH JOURNAL

Fabric defect inspection based on lattice segmentation and template statistics

(2019) Liang Jia et al.   INFORMATION SCIENCES

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fabric defect inspection based on lattice segmentation and lattice templates

(2018) Liang Jia et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Automatic fabric defect detection with a wide-and-compact network

(2018) Yuyuan Li et al.   NEUROCOMPUTING

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fabric defect inspection based on lattice segmentation and Gabor filtering

(2017) Liang Jia et al.   NEUROCOMPUTING

Fabric defect detection systems and methods—A systematic literature review

(2016) Kazım Hanbay et al.   OPTIK

Fabric inspection based on the Elo rating method

(2016) Colin S.C. Tsang et al.   PATTERN RECOGNITION

Automated fabric defect detection—A review

(2011) Henry Y.T. Ngan et al.   IMAGE AND VISION COMPUTING

Motif-based defect detection for patterned fabric

(2007) Henry Y.T. Ngan et al.   PATTERN RECOGNITION