登录
首页 » matlab » mvcnn-master

mvcnn-master

于 2020-12-04 发布
0 133
下载积分: 1 下载次数: 1

代码说明:

说明:  计算机视觉中一个长期存在的问题是关于用于识别的三维形状的表示:三维形状是否应该使用操作在其原生三维格式(如体素网格或多边形网格)上的描述符来表示,还是可以使用基于视图的描述符来有效地表示?我们在学习从一组二维图像上呈现的视图中识别三维图形的背景下解决了这个问题。我们首先介绍了一个经过训练的标准CNN架构,可以独立地识别呈现在视图中的形状,并展示了一个3D形状甚至可以从中识别出来(A longstanding question in computer vision concerns the representation of 3D shapes for recognition: should 3D shapes be represented with descriptors operating on their native 3D formats)

文件列表:

mvcnn-master, 0 , 2019-01-04
mvcnn-master\.gitignore, 4 , 2019-01-04
mvcnn-master\.gitmodules, 222 , 2019-01-04
mvcnn-master\LICENCE, 1074 , 2019-01-04
mvcnn-master\README.md, 4408 , 2019-01-04
mvcnn-master\caffe, 0 , 2019-01-04
mvcnn-master\caffe\MVCNNDataLayer.py, 3708 , 2019-01-04
mvcnn-master\caffe\MVCNNDataLayerPreTrain.py, 3211 , 2019-01-04
mvcnn-master\caffe\README.md, 600 , 2019-01-04
mvcnn-master\caffe\alexNet.prototxt, 5384 , 2019-01-04
mvcnn-master\caffe\ilsvrc_2012_mean.npy, 1572944 , 2019-01-04
mvcnn-master\caffe\mvccn_12view.prototxt, 6102 , 2019-01-04
mvcnn-master\caffe\mvcnn_PreTrain.prototxt, 249 , 2019-01-04
mvcnn-master\caffe\mvcnn_Train.prototxt, 263 , 2019-01-04
mvcnn-master\caffe\trainAlex.py, 321 , 2019-01-04
mvcnn-master\caffe\trainCNN.py, 333 , 2019-01-04
mvcnn-master\caffe\trainMVCNN.py, 318 , 2019-01-04
mvcnn-master\cnn_shape.m, 7128 , 2019-01-04
mvcnn-master\cnn_shape_get_batch.m, 4605 , 2019-01-04
mvcnn-master\cnn_shape_get_features.m, 12834 , 2019-01-04
mvcnn-master\cnn_shape_init.m, 6412 , 2019-01-04
mvcnn-master\cnn_shape_train.m, 16907 , 2019-01-04
mvcnn-master\contributors.txt, 56 , 2019-01-04
mvcnn-master\data, 0 , 2019-01-04
mvcnn-master\data\.gitignore, 25 , 2019-01-04
mvcnn-master\dataset, 0 , 2019-01-04
mvcnn-master\dataset\setup_imdb_generic.m, 102 , 2019-01-04
mvcnn-master\dataset\setup_imdb_modelnet.m, 8592 , 2019-01-04
mvcnn-master\dataset\setup_imdb_shapenet.m, 3249 , 2019-01-04
mvcnn-master\dependencies, 0 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96, 0 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\.gitignore, 31 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\COPYRIGHT, 1486 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\Makefile, 993 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\Makefile.win, 900 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\README, 20224 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\blas, 0 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\blas\Makefile, 293 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\blas\blas.h, 702 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\blas\blasp.h, 16529 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\blas\daxpy.c, 1274 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\blas\ddot.c, 1280 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\blas\dnrm2.c, 1375 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\blas\dscal.c, 1104 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\heart_scale, 27670 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\linear.cpp, 57430 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\linear.def, 426 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\linear.h, 2211 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\matlab, 0 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\matlab\Makefile, 1504 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\matlab\README, 7470 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\matlab\libsvmread.c, 4063 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\matlab\libsvmwrite.c, 2341 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\matlab\linear_model_matlab.c, 3545 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\matlab\linear_model_matlab.h, 166 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\matlab\make.m, 1139 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\matlab\predict.c, 8517 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\matlab\train.c, 10861 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\predict.c, 5338 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\python, 0 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\python\Makefile, 32 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\python\README, 12195 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\python\liblinear.py, 9373 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\python\liblinearutil.py, 8208 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\train.c, 9109 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\tron.cpp, 5186 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\tron.h, 687 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\windows, 0 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\windows\liblinear.dll, 182272 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\windows\libsvmread.mexw64, 11264 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\windows\libsvmwrite.mexw64, 10240 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\windows\predict.exe, 128512 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\windows\predict.mexw64, 16896 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\windows\train.exe, 179200 , 2019-01-04
mvcnn-master\dependencies\liblinear-1.96\windows\train.mexw64, 61440 , 2019-01-04
mvcnn-master\dependencies\matconvnet, 0 , 2019-01-04
mvcnn-master\dependencies\vlfeat, 0 , 2019-01-04
mvcnn-master\evalkit, 0 , 2019-01-04
mvcnn-master\evalkit\Evaluator.js, 5553 , 2019-01-04
mvcnn-master\evalkit\Metrics.js, 4769 , 2019-01-04
mvcnn-master\evalkit\README.txt, 1148 , 2019-01-04
mvcnn-master\evalkit\evaluate.js, 150 , 2019-01-04
mvcnn-master\evalkit\train.csv, 894149 , 2019-01-04
mvcnn-master\evalkit\val.csv, 128999 , 2019-01-04
mvcnn-master\exp_scripts, 0 , 2019-01-04
mvcnn-master\exp_scripts\confmat.m, 321 , 2019-01-04
mvcnn-master\exp_scripts\display_retrieval_results.m, 3539 , 2019-01-04
mvcnn-master\exp_scripts\display_right_wrong.m, 3109 , 2019-01-04
mvcnn-master\exp_scripts\learn_metric.m, 1634 , 2019-01-04
mvcnn-master\exp_scripts\prfigure.m, 1756 , 2019-01-04
mvcnn-master\exp_scripts\visualize_saliency.m, 2931 , 2019-01-04
mvcnn-master\get_imdb.m, 840 , 2019-01-04
mvcnn-master\rerank_retrieval.m, 1330 , 2019-01-04
mvcnn-master\run_experiments.m, 2384 , 2019-01-04
mvcnn-master\run_retrieval.m, 2471 , 2019-01-04
mvcnn-master\setup.m, 2522 , 2019-01-04
mvcnn-master\shape_compute_descriptor.m, 5257 , 2019-01-04
mvcnn-master\utils, 0 , 2019-01-04
mvcnn-master\utils\RenderMe, 0 , 2019-01-04
mvcnn-master\utils\RenderMe\RenderDepth, 0 , 2019-01-04

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • STM32F10xxx参考手册中文版
    stm32f103系列芯片中文参考手册,给需要的人,拿走不谢(A rare reference manual for Chinese development of STM32F103 series chips)
    2019-07-02 09:15:37下载
    积分:1
  • ArrayCalc2_4_2
    说明:  matlab中实现雷达信号处理,其中包括对信号的简单处理等(Radar signal processing is realized in MATLAB, including simple signal processing)
    2021-03-16 17:06:47下载
    积分:1
  • 复杂网络中基本网络模型的matlab实现
    说明:  Matlab下复杂网络基本模型生成代码,Matlab下复杂网络生成各种可用的复杂网络模型。(Matlab Network generalization)
    2019-03-12 15:44:01下载
    积分:1
  • 学习java的小程序!很有用的,只要仔细阅读就能学到好多
    学习java的小程序!很有用的,只要仔细阅读就能学到好多-study java
    2022-09-08 00:30:03下载
    积分:1
  • chirp FP
    啁啾FBG的FP干涉反射谱线MATLAB仿真chirp FBG-FP(MATLAB Simulation of Chiral Fiber Bragg gratings based FP Interferometric Reflectance Spectra)
    2021-04-08 10:49:01下载
    积分:1
  • matlab解雷诺方程
    解决二维流动问题,过程还需要自己逐步调试(Solving two dimensional flow problem)
    2017-11-21 15:37:03下载
    积分:1
  • 非常实用的国密SM2、SM3、SM4算法工具 smarttool
    说明:  非常实用的国密SM2、SM3、SM4算法工具(National Secret SM2, SM3, SM4 Algorithmic Tools)
    2020-06-26 17:20:02下载
    积分:1
  • libpcap
    说明:  linux 上libpcap开发包,可实现类似于tcpdump之类的开发(Libpcap development kit on linux)
    2020-06-23 19:00:02下载
    积分:1
  • dsafasdfdsafasdfdsafasdfdsafasdf
    20种常用的PS处理 20种常用的PS处理-dsafasdfdsafasdfdsafasdfdsafasdf
    2022-04-29 20:56:51下载
    积分:1
  • 23opencv
    车道线检测效果较好,检测准确,其中包括曲线拟合追踪。(Lane detection is effective and accurate, including curve fitting and tracking.)
    2020-07-04 11:40:02下载
    积分:1
  • 696518资源总数
  • 105651会员总数
  • 15今日下载