实例介绍
【实例简介】机器视觉表面缺陷检测综述
【实例截图】
【核心代码】
.
├── surface-defect-detection-master
│ ├── README.md
│ └── paper
│ ├── 2019.01
│ │ ├── A fast and robust convolutional neural network-based defect detection model in product quality control.pdf
│ │ ├── An Unsupervised-Learning-Based Approach for Automated Defect Inspection on Textured Surfaces.pdf
│ │ ├── Automatic_Metallic_Surface_Defect_Detection_and_Re.pdf
│ │ └── Autonomous Structural Visual Inspection Using Region-Based Deep Learning for Detecting Multiple Damage Types.pdf
│ ├── 2019.02
│ │ ├── Deep Active Learning for Civil Infrastructure Defect detection and clssification.pdf
│ │ ├── Defect Detection of Mobile Phone Surface based on convlution nerual networks.pdf
│ │ └── Defects Detection Based on Deep Learning and Transfer Learning.pdf
│ ├── 2019.03
│ │ ├── Surface Defect Saliency of Magnetic Tile.pdf
│ │ ├── The phase only transform for unsupervised surface defect detection.pdf
│ │ └── Tiny surface defect inspection of electronic passive components using discrete cosine transform decomposition and cumulative sum techniques.pdf
│ ├── 2019.04
│ │ ├── Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity..pdf
│ │ ├── Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network .pdf
│ │ └── Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model .pdf
│ ├── 2019.05
│ │ ├── 1.pdf
│ │ ├── 2.pdf
│ │ └── 3.pdf
│ ├── 2019.06
│ │ ├── A Surface Defect Detection Method Based on Positive Samples.pdf
│ │ ├── GANomaly Semi-Supervised Anomaly Detection via Adversarial Training.pdf
│ │ ├── Surface defect classification of steels with a new semi-supervised learning.pdf
│ │ └── YOLO for steel detection.pdf
│ ├── 2019.10
│ │ ├── A semi-supervised convolutional neural network-based method for steel.pdf
│ │ ├── SDD-CNN Small Data-Driven Convolution Neural Networks for Subtle Roller Defect Inspection.pdf
│ │ └── Segmentation-based deep-learning approach for surface-defect detection.pdf
│ └── 2019.11
│ ├── A High-Efficiency Fully Convolutional Networks for Pixel-Wise Surface Defect Detection.pdf
│ └── Unsupervised fabric defect detection based on a deep convolutional generative adversarial network.pdf
└── 机器视觉表面缺陷检测综述.zip
10 directories, 27 files
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