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CNN-for-Image-Retrieval-master

于 2019-05-05 发布 文件大小:2974KB
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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
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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\developers.md, 3393 , 2017-10-07
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
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\gpu.md, 1095 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\index.md, 4410 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\install-alt.md, 3407 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\install.md, 8302 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\js, 0 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\js\mathjaxhelper.js, 138 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\js\toggle.js, 191 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\pretrained.md, 14586 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\quick.md, 2571 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\training.md, 1166 , 2017-10-07
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\doc\site\docs\wrappers.md, 9183 , 2017-10-07
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CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\examples\cifar, 0 , 2017-10-07
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
CNN-for-Image-Retrieval-master\matconvnet-1.0-beta17\examples\cifar\cnn_cifar_init_nin.m, 5596 , 2017-10-07
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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  • compressed-sensing
    压缩感知，稀疏表示采用小波基表示，压缩测量采用随机高斯矩阵，重构算法是omp重构(Compressed sensing, sparse representation using wavelet representation, compression measurements using random Gaussian matrix remodeling reconstruction algorithm is omp)
    2013-10-17 12:51:03下载
    积分：1
  • project2_students
    基于互信息的刚性配准，利用了Powell算法和黄金分割算法，效果还不错(Based on Mutual Information rigid registration, Powell algorithm and the use of the golden section algorithm, the results were good)
    2015-12-18 14:36:54下载
    积分：1
  • dct11
    DCT1.m为一维离散余弦变换exp22.m为对一幅灰度图像进行离散余弦变换 exp23.m为对一幅彩色图像进行离散余弦变换(DCT1.m for the one-dimensional discrete cosine transform exp22.m for a gray image exp23.m discrete cosine transform for the color of an image discrete cosine transform)
    2021-04-22 16:48:49下载
    积分：1
  • liziqun
    利用粒子群算法做的关于基于指数熵对数熵TSALLIS熵的多阈值的图像分割，内附无优化算法，可以做时间比较(Using particle swarm optimization to do on the entropy-based index of the number of entropy TSALLIS entropy of multi-threshold image segmentation, containing no optimization, can do more time)
    2010-07-22 15:47:05下载
    积分：1
  • lct_final
    基于线性正则变换与菲涅尔变换的图形加密方法，实现广义线性正则变换的加密解密过程。(Based on linear canonical transformation and Fresnel transform graphics encryption methods, implementation of generalized linear canonical transformation encryption decryption process. )
    2016-09-12 19:33:08下载
    积分：1
  • 07-1541175762-687107
    赵巨峰，陶小平，*冯华君，徐之海，李奇, 基于梯度的波纹图像质量评价 [J], 浙大学报工学版, 2010, 44(5):870-874.(Gradient based ripple image quality assessment)
    2020-06-16 20:20:02下载
    积分：1
  • directxshow
    vc6.0 控制摄像头源代码，采用directxshow 效率很高，小弟参考了很多的资料才搞明白，和大家共享，希望对大家有帮助(camera control vc6.0 source code, the use of highly efficient directxshow,小弟reference a lot of information in order to engage in to understand, and share, in the hope that we have to help)
    2007-11-30 09:56:35下载
    积分：1
  • C#图片浏览(支持鼠标拖动与滚轮缩放)
    C#图片浏览(支持鼠标拖动与滚轮缩放)
    2013-11-30下载
    积分：1
  • ri
    说明：  可改变中心时移，相位，主频的雷克子波，自己在源程序上加减时间，改变主频，加减相位即可(ricker wavelet which time,phase and frequence can be changed )
    2012-03-23 09:03:02下载
    积分：1
  • 37724099hsvfeature1
    说明：  基于视觉特征的图像特征提取，在HSV颜色空间提取彩色纹理特征(Based on the visual characteristics of image feature extraction, in the HSV color space, color texture feature extraction)
    2010-04-05 15:39:04下载
    积分：1
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