In this paper we propose a deep learning solution to age estimation from a single face image without the use of facial landmarks and introduce the IMDB-WIKI dataset, the largest public dataset of face images with age and gender labels. If the real age estimation research spans over decades,...
Thus, this research aims at automatic diagnosis of the disease in its different stages using deep learning neural network approach. This paper presents the design and implementation of Graphic Processing Unit (hereby GPU) accelerated deep convolutional neural networks to automatically diagnose and thereby...
where traditional methods often rely on manual interpretation and conventional machine learning techniques. These approaches, while effective, come with inherent limitations such as subjectivity in interpretation and constraints in handling complex image features. This research paper proposes an integrated deep...
fine⁃tuning or designing and training new models.This paper proposes a foren⁃sic shoeprint retrieval algorithm based on VGG-16.First,we establish a shoeprint dataset with 2827im⁃ages in 432categories and the data was further expanded to 228987images.Second,we retrain the VGG -16model ...
Pytorch:基于VGG16的迁移学习实现“猫狗大战” Kaggle 于2013年举办的猫狗大战比赛,判断一张输入图像是“猫”还是“狗”。该教程使用在 ImageNet 上预训练 的 VGG16 网络进行测试。因为原网络的分类结果是1000类,所以这里进行迁移学习,对原网络进行 fine-tune (即固定前面若干层,作为特征提取器,只重新训练最后几...
这种方法类似图片尺寸上 的数据增益。实现论文作者: http:/www.robots.ox.ac.uk/vgg/research/very_deep/tf 实现: /frossard/post/vgg16/ 未经允许不得转载:大数据算法 ? VGG 结构介绍
关键词:卷积神经网络; VGG ;聚类算法;剪枝;轻量化中图法分类号 TP181 ParallelPruningfromTwoAspectsforVGG16OptimizationLIShan1 , 2 andXUXinGzheng 1 , 2 , 31EngineeringResearchCenterofMineDigitalizationofMinistryofEducation , ChinaUniversityofMiningandTechnology , Xuzhou , Jiangsu221116 , China2Schoolof...
This research project developed an automated rice blast disease diagnosis technique based on deep learning, image processing, and transfer learning with pre-trained models such as Inception V3, VGG16, VGG19, and ResNet50. The public dataset consists of 2000 images; about 1200 images belong to ...
The use of VGG-16 - a pre-trained model allows us to achieve accurate features. The assumption of having the same distribution for all classes in dataset may be not suitable for our case study when the number of chest images which are affected by other diseases is larger than the number ...
(16 conv. and 3 FC layers). The width of conv. layers (the number of channels) is rather small, starting from 64 in the first layer and then increasing by a factor of 2 after each max-pooling layer, until it reaches 512. Table 1: ConvNet configurations (shown in columns). The ...