SceneTextCNN_demo.tar
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：59621KB
下载次数：1287
上传日期：2013-02-21 04:20:05
上 传 者：
twangcat
说明： 端至端卷积神经网络的文字识别,代码演示包.
它包含我们的论文中使用的所有主要组成部分: kmeans无监督特征学习 + 卷积神经网络(CNN)
(This is a demo package of the code we used for our paper, "End-to-End
Text Recognition with Convolutional Neural Networks", T. Wang, D. Wu,
A. Coates, A. Ng, in ICPR 2012.
The package is provided to facilitate understanding of the algorithms
used in our paper. It contains demos to all the major components of our
end-to-end system. Because of speed considerations, the CNN
architectures as well as dataset sizes provided in this package are
much smaller than the actural ones used in the paper, although the
algorithms themselves are identical. We also provide our trained models
together with code to reproduce major results reported in our paper.)
文件列表:
SceneTextCNN_demo (0, 2012-11-24)
SceneTextCNN_demo\models (0, 2012-11-18)
SceneTextCNN_demo\icdarTestLex (0, 2012-11-08)
SceneTextCNN_demo\finetune (0, 2012-11-13)
SceneTextCNN_demo\kmeans (0, 2012-11-15)
SceneTextCNN_demo\extract1stLayerFeatures (0, 2012-11-15)
SceneTextCNN_demo\trainDetector (0, 2012-11-12)
SceneTextCNN_demo\trainClassifier (0, 2012-11-13)
SceneTextCNN_demo\detectorDemo (0, 2012-11-17)
SceneTextCNN_demo\structs (0, 2012-11-13)
SceneTextCNN_demo\icdarTestLex\lex5 (0, 2012-11-08)
SceneTextCNN_demo\icdarTestLex\lex20 (0, 2012-11-08)
SceneTextCNN_demo\icdarTestLex\lex50 (0, 2012-11-08)
SceneTextCNN_demo\finetune\models (0, 2012-11-08)
SceneTextCNN_demo\finetune\convCode (0, 2012-11-13)
SceneTextCNN_demo\finetune\poolFunc (0, 2012-11-13)
SceneTextCNN_demo\finetune\stackCode (0, 2012-11-13)
SceneTextCNN_demo\finetune\minFunc (0, 2012-11-13)
SceneTextCNN_demo\detectorDemo\models (0, 2012-11-08)
SceneTextCNN_demo\finetune\minFunc\logistic (0, 2012-11-13)
SceneTextCNN_demo\loadRecognitionModel.m (645, 2012-11-18)
SceneTextCNN_demo\getRecogScores_convnet.m (2025, 2012-11-13)
SceneTextCNN_demo\beam_search_step.m (9748, 2012-11-13)
SceneTextCNN_demo\ascii2label.m (379, 2012-11-13)
SceneTextCNN_demo\e2e_demo.m (1441, 2012-11-13)
SceneTextCNN_demo\license.txt (1507, 2012-11-13)
SceneTextCNN_demo\score2Word.m (1795, 2012-11-13)
SceneTextCNN_demo\score2WordBounds.m (1347, 2012-11-13)
SceneTextCNN_demo\parseXML.m (2058, 2012-11-13)
SceneTextCNN_demo\wtnms.m (347, 2012-11-13)
SceneTextCNN_demo\filterScores.m (755, 2012-11-13)
SceneTextCNN_demo\wordRecog.m (5785, 2012-11-13)
SceneTextCNN_demo\getIcdarTrainStruct.m (3364, 2012-11-13)
SceneTextCNN_demo\getIcdarTestStruct.m (3384, 2012-11-13)
SceneTextCNN_demo\getMatchScore.m (2200, 2012-11-13)
SceneTextCNN_demo\getSVTStruct.m (4736, 2012-11-13)
SceneTextCNN_demo\e2e_visualize.m (8121, 2012-11-13)
SceneTextCNN_demo\getFScore.m (14681, 2012-11-13)
SceneTextCNN_demo\models\best_classifier_convnet.mat (10384855, 2012-11-08)
... ...
近期下载者：
相关文件：
收藏者：