来源:https://arxiv.org/abs/2207.02696
代码:https://github.com/WongKinYiu/yolov7
0. Abstract
YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56.8…
A Generative Adversarial Network-based Deep Learning Method for Low-quality Defect ImageReconstruction and Recognition
中文名:基于生成对抗网络的深度低质量缺陷图像的学习方法重建与认可 主体思路概述:将模糊的图像使用Gan进行生成与重建&…
Automated defect inspection system for metal surfaces based on deep learning and data augmentation 基于深度学习和数据增强的金属表面缺陷自动检测系统 简述:卷积变分自动编码器(CVAE)生成特定的图像,再使用基于深度CNN的缺陷分类算法进行分类。在…
Automatic Detection of Welding Defects Using Faster R-CNN 基于快速R-CNN的焊接缺陷自动检测 简介:使用Inception-ResNet模型进行缺陷检测
数据集:射线图像 Abstract
Experts are required to properly detect the test results and it takes a lot…
基于深度学习的多尺度通道压缩特征表面缺陷检测系统
Deep learning based multi-scale channel compression feature surface defect detection system 简述:首先应用背景分割和模板匹配技术来定义覆盖目标工件的ROI区域。提取的感兴趣区域被均匀地裁剪成若干个图像…