Mobile-Unet: An efficient convolutional neural network for fabric defect detection
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Title
Mobile-Unet: An efficient convolutional neural network for fabric defect detection
Authors
Keywords
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Journal
TEXTILE RESEARCH JOURNAL
Volume -, Issue -, Pages 004051752092860
Publisher
SAGE Publications
Online
2020-05-30
DOI
10.1177/0040517520928604
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Note: Only part of the references are listed.- Automatic pixel-level multiple damage detection of concrete structure using fully convolutional network
- (2019) Shengyuan Li et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Automatic fabric defect detection using a deep convolutional neural network
- (2019) Jun-Feng Jing et al. COLORATION TECHNOLOGY
- Segmentation-based deep-learning approach for surface-defect detection
- (2019) Domen Tabernik et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A universal defect detection approach for various types of fabrics based on the Elo-rating algorithm of the integral image
- (2019) Xuejuan Kang et al. TEXTILE RESEARCH JOURNAL
- Unsupervised fabric defect detection based on a deep convolutional generative adversarial network
- (2019) Guanghua Hu et al. TEXTILE RESEARCH JOURNAL
- Fabric Defect Detection Using L0 Gradient Minimization and Fuzzy C-Means
- (2019) Huanhuan Zhang et al. Applied Sciences-Basel
- Progressive boosting for class imbalance and its application to face re-identification
- (2018) Roghayeh Soleymani et al. EXPERT SYSTEMS WITH APPLICATIONS
- Automatic Fabric Defect Detection Using Learning-Based Local Textural Distributions in the Contourlet Domain
- (2018) Daniel Yapi et al. IEEE Transactions on Automation Science and Engineering
- Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model
- (2018) Shuang Mei et al. SENSORS
- Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity
- (2018) Paolo Napoletano et al. SENSORS
- Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks
- (2018) Xian Tao et al. Applied Sciences-Basel
- Research on a Surface Defect Detection Algorithm Based on MobileNet-SSD
- (2018) Yiting Li et al. Applied Sciences-Basel
- Fabric Defect Detection Using Salience Metric for Color Dissimilarity and Positional Aggregation
- (2018) Kaibing Zhang et al. IEEE Access
- U-Net: deep learning for cell counting, detection, and morphometry
- (2018) Thorsten Falk et al. NATURE METHODS
- A new method using the convolutional neural network with compressive sensing for fabric defect classification based on small sample sizes
- (2018) Bing Wei et al. TEXTILE RESEARCH JOURNAL
- Automatic fabric defect detection with a wide-and-compact network
- (2018) Yuyuan Li et al. NEUROCOMPUTING
- Deformable Patterned Fabric Defect Detection With Fisher Criterion-Based Deep Learning
- (2017) Yundong Li et al. IEEE Transactions on Automation Science and Engineering
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Fully Convolutional Networks for Semantic Segmentation
- (2017) Evan Shelhamer et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Fabric defect detection based on the saliency map construction of target-driven feature
- (2017) Shengqi Guan et al. JOURNAL OF THE TEXTILE INSTITUTE
- Textile fabric defect detection based on low-rank representation
- (2017) Peng Li et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Fabric texture representation using the stable learned discrete cosine transform dictionary
- (2017) Ying Wu et al. TEXTILE RESEARCH JOURNAL
- Fraud detection system: A survey
- (2016) Aisha Abdallah et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Imbalanced defect classification for mobile phone screen glass using multifractal features and a new sampling method
- (2016) Chuanxia Jian et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Supervised defect detection on textile fabrics via optimal Gabor filter
- (2013) Junfeng Jing et al. Journal of Industrial Textiles
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