Adaptive depth and receptive field selection network for defect semantic segmentation on castings X-rays

Aluminum Casting Inspection Using Deep Learning: A Method Based on Convolutional Neural Networks

(2020) Domingo Mery   JOURNAL OF NONDESTRUCTIVE EVALUATION

Performance enhancement of convolutional neural network for ultrasonic flaw classification by adopting autoencoder

(2020) Nauman Munir et al.   NDT & E INTERNATIONAL

Application of hyperspectral CT technology combined with machine learning in recognition of plastic components

(2019) Zheng Fang et al.   NDT & E INTERNATIONAL

Deep neural networks based approach for welded joint detection of oil pipelines in radiographic images with Double Wall Double Image exposure

(2019) Fernando Moreira Suyama et al.   NDT & E INTERNATIONAL

Approaches for improvement of the X-ray image defect detection of automobile casting aluminum parts based on deep learning

(2019) Wangzhe Du et al.   NDT & E INTERNATIONAL

Visual inspection and characterization of external corrosion in pipelines using deep neural network

(2019) Blossom Treesa Bastian et al.   NDT & E INTERNATIONAL

Temporal and spatial deep learning network for infrared thermal defect detection

(2019) Qin Luo et al.   NDT & E INTERNATIONAL

Unified detection method of aluminium profile surface defects: Common and rare defect categories

(2019) Defu Zhang et al.   OPTICS AND LASERS IN ENGINEERING

Variational Bayesian Subgroup Adaptive Sparse Component Extraction for Diagnostic Imaging System

(2018) Bin Gao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Automatic Visual Detection System of Railway Surface Defects With Curvature Filter and Improved Gaussian Mixture Model

(2018) Hui Zhang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

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

Detection of a casting defect tracked by deep convolution neural network

(2018) Jinhua Lin et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Application of RNAMlet to surface defect identification of steels

(2018) Ke Xu et al.   OPTICS AND LASERS IN ENGINEERING

Pattern Deep Region Learning for Crack Detection in Thermography Diagnosis System

(2018) Jue Hu et al.   Metals

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

GDXray: The Database of X-ray Images for Nondestructive Testing

(2015) Domingo Mery et al.   JOURNAL OF NONDESTRUCTIVE EVALUATION

A sparse-representation-based robust inspection system for hidden defects classification in casting components

(2015) Xinyue Zhao et al.   NEUROCOMPUTING