MaMiNet: Memory-attended multi-inference network for surface-defect detection

Mixed supervision for surface-defect detection: From weakly to fully supervised learning

(2021) Jakob Božič et al.   COMPUTERS IN INDUSTRY

Pixel-level tunnel crack segmentation using a weakly supervised annotation approach

(2021) Hanxiang Wang et al.   COMPUTERS IN INDUSTRY

A One-Stage Approach for Surface Anomaly Detection with Background Suppression Strategies

(2020) Gaokai Liu et al.   SENSORS

EDRNet: Encoder–Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects

(2020) Guorong Song et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

CADN: A weakly supervised learning-based category-aware object detection network for surface defect detection

(2020) Jiabin Zhang et al.   PATTERN RECOGNITION

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

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

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

(2019) Thomas Schlegl et al.   MEDICAL IMAGE ANALYSIS

Automatic Detection and Classification of Sewer Defects via Hierarchical Deep Learning

(2019) Qian Xie et al.   IEEE Transactions on Automation Science and Engineering

PGA-Net: Pyramid Feature Fusion and Global Context Attention Network for Automated Surface Defect Detection

(2019) Hongwen Dong et al.   IEEE Transactions on Industrial Informatics

Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks

(2018) Srinath S. Kumar et al.   AUTOMATION IN CONSTRUCTION

Automated defect inspection of LED chip using deep convolutional neural network

(2018) Hui Lin et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Solar cell surface defect inspection based on multispectral convolutional neural network

(2018) Haiyong Chen et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection

(2016) Daniel Weimer et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Classification of defects with ensemble methods in the automated visual inspection of sewer pipes

(2013) Wei Wu et al.   PATTERN ANALYSIS AND APPLICATIONS

Automated diagnosis of sewer pipe defects based on machine learning approaches

(2007) Ming-Der Yang et al.   EXPERT SYSTEMS WITH APPLICATIONS