FN-Net: A lightweight CNN-based architecture for fabric defect detection with adaptive threshold-based class determination

Computer vision based detection of external defects on tomatoes using deep learning

(2020) Arthur Z. da Costa et al.   BIOSYSTEMS ENGINEERING

LightAMC: Lightweight Automatic Modulation Classification via Deep Learning and Compressive Sensing

(2020) Yu Wang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification

(2020) Donghang Yu et al.   SENSORS

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks

(2019) Husein Perez et al.   SENSORS

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A visual long-short-term memory based integrated CNN model for fabric defect image classification

(2019) Yudi Zhao et al.   NEUROCOMPUTING

Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model

(2018) Shuang Mei et al.   SENSORS

Research on a Surface Defect Detection Algorithm Based on MobileNet-SSD

(2018) Yiting Li et al.   Applied Sciences-Basel

Fabric defect detection systems and methods—A systematic literature review

(2016) Kazım Hanbay et al.   OPTIK

Deep learning

(2015) Yann LeCun et al.   NATURE

Automated fabric defect detection—A review

(2011) Henry Y.T. Ngan et al.   IMAGE AND VISION COMPUTING