当前位置:
首页 资源下载
搜索资源 - image classification
搜索资源列表
-
0下载:
Recent innovations in training deep convolutional neural network models have motivated the design of new methods to automatically learn local image descriptors. The latest deep ConvNets proposed for this task consist(from machine learning show that
-
-
2下载:
基于稀疏表示的高光谱图像分类的Fisher字典学习方法matlab代码(Hypersynthetic image classification based on sparse representation in Fisher dictionary learning matlab code.)
-
-
0下载:
实现图像分类中的传统方法,主要有特征提取模块,还有分类模块,其中该算法将其整合实现了端到端的训练和测试(image classification)
-
-
2下载:
基于Tensorflow下的cnn卷积神经网络实现图像的分类(Image classification CNN convolutional neural network based on Tensorflow)
-
-
0下载:
Object detection using HOG implemented in Python and C++ using OpenCV library
-
-
4下载:
使用基于词典的稀疏表示高光谱图像分类,多任务联合稀疏表示和逐步MRF优化的高光谱图像分类(Dictionary-based sparse representation hyperspectral image classification, multi-task joint sparse representation and stepwise MRF optimized hyperspectral image classification)
-
-
1下载:
宽度学习是最近比较热的分类器,可用于图像分类等应用(image classification Broad learning)
-
-
0下载:
可以实现基于形态学的高光谱图像分类,中山大学李军教授的(Hyperspectral image classification based on morphology can be achieved, Professor Li Jun from Zhongshan University.)
-
-
0下载:
自己用IDL编写的k-means影像分类程序,已调试,可以直接使用。(Using IDL to write K-means image classification program, has been debugged, can be used directly.)
-
-
1下载:
包括遥感图像分类(监督和非监督)、分类后处理、NDVI、波段运算、颜色转换、光谱分析等等。(It includes remote sensing image classification (supervised and unsupervised), post-processing classification, NDVI, band operation, color conversion, spectral analysis and so on.)
-
-
11下载:
极化SAR图像分类数据,Flevoland部分地区T3矩阵数据(Dataset for PolSAR image classification, T3 matrix of Flevoland subarea.)
-
-
1下载:
在CIFAR-10数据集上使用卷积神经网络进行图像分类(Image classification using convolution neural network on CIFAR-10 dataset)
-
-
1下载:
基于hog特征的svm的图像分类识别,matlab程序(Image classification and recognition based on hog-svm)
-
-
6下载:
CNN高光谱图像分类,包含1D,2D,3D(CNN hyperspectral image classification)
-
-
0下载:
通过卷积网络,自动实现对图片特征的提取,通过训练,得到有效的权值,进行图像分类(Through convolution network, automatic extraction of image features can be realized. Through training, effective weights can be obtained and image classification can be carried out.)
-
-
5下载:
利用MATLAB实现一个基于CNN的图像分类算法(Implementing an image classification algorithm based on CNN with MATLAB)
-
-
1下载:
利用深度学习进行遥感图像场景分类
这里我们对NWPU-RESISC45数据集的场景图像进行分类
我们将卷积神经网络应用于图像分类。我们从头开始训练数据集。此外,还应用了预先训练的VGG16 abd ResNet50进行迁移学习。(Scene Classification of Remote Sensing Images Using Deep Learning
Here we classify scene images from NWPU-RESISC45 dataset
We apply
-
-
2下载:
这是一个标准的深度学习图像分类和目标跟踪的matlab程序,效果好,运行平台为matlab2017b.(This is a standard in-depth learning image classification and target tracking matlab program, good results, running platform for matlab 2017b.)
-
-
2下载:
Locality-constrained Linear Coding (LLC) in place of the VQ coding in traditional SPM. LLC utilizes the locality constraints to project each descr iptor into its local-coordinate system, and the projected coordinates are integrated by max pooling to
-
-
1下载:
深度学习基本算法,深度学习with python作为标题建议介绍深度学习使用Python编程语言和开源Keras库,它允许简单快速的原型设计。
在Python深度学习中, 你将从一开始就学习深度学习,你将学习所有关于图像分类模型,如何使用深度学习获取文本和序列,甚至可以学习如何使用神经网络生成文本和图像。
本书是为那些具有Python技能的人员编写的,但你不必在机器学习,Tensorflow或Keras方面有过任何经验。你也不需要先进的数学背景,只有基础的高中水平数学应该让你跟随和理解核心
-