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CNN-for-Image-Retrieval-master

于 2019-05-05 发布 文件大小:2974KB
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下载积分: 1 下载次数: 4

代码说明:

  基于内容的CNN图像检索,编写语言为matlab(CNN Image Retrieval, matlab)

文件列表:

CNN-for-Image-Retrieval-master, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\.gitignore, 6 , 2017-10-07
CNN-for-Image-Retrieval-master\README.md, 5048 , 2017-10-07
CNN-for-Image-Retrieval-master\compute_MAP.m, 1982 , 2017-10-07
CNN-for-Image-Retrieval-master\database, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\database\001_accordion_image_0001.jpg, 25120 , 2017-10-07
CNN-for-Image-Retrieval-master\database\001_accordion_image_0002.jpg, 18640 , 2017-10-07
CNN-for-Image-Retrieval-master\database\001_accordion_image_0003.jpg, 25284 , 2017-10-07
CNN-for-Image-Retrieval-master\database\002_anchor_image_0001.jpg, 4945 , 2017-10-07
CNN-for-Image-Retrieval-master\database\002_anchor_image_0002.jpg, 12210 , 2017-10-07
CNN-for-Image-Retrieval-master\database\002_anchor_image_0003.jpg, 23032 , 2017-10-07
CNN-for-Image-Retrieval-master\database\003_ant_image_0001.jpg, 10067 , 2017-10-07
CNN-for-Image-Retrieval-master\database\003_ant_image_0002.jpg, 10756 , 2017-10-07
CNN-for-Image-Retrieval-master\database\003_ant_image_0003.jpg, 22111 , 2017-10-07
CNN-for-Image-Retrieval-master\database\1982.jpg, 8173 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClasses.txt, 39 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified\accordion, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified\accordion\image_0001.jpg, 25120 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified\accordion\image_0002.jpg, 18640 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified\accordion\image_0003.jpg, 25284 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified\anchor, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified\anchor\image_0001.jpg, 4945 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified\anchor\image_0002.jpg, 12210 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified\anchor\image_0003.jpg, 23032 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified\ant, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified\ant\image_0001.jpg, 10067 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified\ant\image_0002.jpg, 10756 , 2017-10-07
CNN-for-Image-Retrieval-master\databaseClassified\ant\image_0003.jpg, 22111 , 2017-10-07
CNN-for-Image-Retrieval-master\extractCNN.m, 1964 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\.gitattributes, 119 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\.gitignore, 877 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\.gitmodules, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\COPYING, 735 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\Makefile, 9326 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\Makefile.mex, 801 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\Makefile.nvcc, 933 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\README.md, 363 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\Makefile, 3862 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\blocks.tex, 20196 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\figures, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\figures\imnet.pdf, 18884 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\figures\pepper.pdf, 702358 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\figures\svg, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\figures\svg\conv.svg, 68592 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\figures\svg\convt.svg, 65347 , 2017-10-07
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CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\fundamentals.tex, 21304 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\geometry.tex, 16543 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\impl.tex, 16705 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\intro.tex, 18899 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\matconvnet-manual.tex, 3773 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\matdoc.py, 7046 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\matdocparser.py, 11108 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\references.bib, 2729 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs, 0 , 2017-10-07
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CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\faq.md, 1490 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\functions.md, 2862 , 2017-10-07
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CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\install-alt.md, 3407 , 2017-10-07
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CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\pretrained.md, 14586 , 2017-10-07
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CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\training.md, 1166 , 2017-10-07
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CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\examples\cifar\cnn_cifar.m, 5246 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\examples\cifar\cnn_cifar_init.m, 3286 , 2017-10-07
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CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\examples\cnn_train.m, 14592 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\examples\cnn_train_dag.m, 11010 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\examples\imagenet, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\examples\imagenet\cnn_imagenet.m, 6984 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\examples\imagenet\cnn_imagenet_camdemo.m, 1677 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\examples\imagenet\cnn_imagenet_deploy.m, 5871 , 2017-10-07

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  • lvbo
    几种图像去燥以及图像增强的滤波器示例,中值滤波,陷波滤波器、频域低通滤波,均值滤波等(Several examples of image de dryness and image enhancement filters, median filtering, notch filter, frequency domain low-pass filtering, mean filtering, etc.)
    2018-07-19 13:50:33下载
    积分:1
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    这个是广义高斯分布随机数产生程序,它可以用做广义高斯分布形状参数的估计,以及用在图像处理,独立成分分析,信号处理,数字水印等方面。(This is the random numbers about the generalized Gaussian distribution.It can be used in image processing, ICA, signal processing,digital watermark and so on.)
    2011-10-08 17:34:47下载
    积分:1
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    说明:  用VC开发的图形填充算法,简单实用, 希望对你的图形开发有所帮助, 如果有什么问题,可以与我联系(development of the VC graphics filling algorithm, simple and practical, and I hope to your graphics development will help, if any, can contact me)
    2005-11-29 15:22:20下载
    积分:1
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    2011-11-26 22:34:11下载
    积分:1
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    该函数用于简单背景下运动目标检测和轮廓提取,虽为简易实现,但效果不错,可根据个人需要添加代码(This function for a simple moving object detection and contour extraction, although it is easy to achieve, but good results can be based on individual need to add code)
    2008-05-26 17:27:36下载
    积分:1
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    一种红外图像自适应对比度增强方法的仿真,绝对的真实,看到那些骗下载分的人恶心。需要自适应修改阈值T和A1,A2的值(An adaptive contrast enhancement method of infrared image simulation, absolutely true, see those who cheat download points. Need adaptive modified threshold T and A1, A2)
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