An Improved VGG19 Transfer Learning Strip Steel Surface Defect Recognition Deep Neural Network Based on Few Samples and Imbalanced Datasets

Research Progress of Automated Visual Surface Defect Detection for Industrial Metal Planar Materials

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Surface defect classification of steels with a new semi-supervised learning method

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Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

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A semi-supervised convolutional neural network-based method for steel surface defect recognition

(2019) Yiping Gao et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

An End-to-End Steel Surface Defect Detection Approach via Fusing Multiple Hierarchical Features

(2019) Yu He et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

DNN Transfer Learning Based Non-Linear Feature Extraction for Acoustic Event Classification

(2017) Seongkyu MUN et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

DNN Transfer Learning Based Non-Linear Feature Extraction for Acoustic Event Classification

(2017) Seongkyu MUN et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

An Algorithm for Surface Defect Identification of Steel Plates Based on Genetic Algorithm and Extreme Learning Machine

(2017) Siyang Tian et al.   Metals

A surface defects inspection method based on multidirectional gray-level fluctuation

(2017) Yunpeng Ma et al.   International Journal of Advanced Robotic Systems

More accountability for big-data algorithms

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Surface defect classification in large-scale strip steel image collection via hybrid chromosome genetic algorithm

(2016) Huijun Hu et al.   NEUROCOMPUTING

Improved Sobel algorithm for defect detection of rail surfaces with enhanced efficiency and accuracy

(2016) Tian Shi et al.   Journal of Central South University

Exploratory Undersampling for Class-Imbalance Learning

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