计算机视觉和机器学习代码收集

现在的研究人员都喜欢公布自己文章的代码,这样对于别人对自己的文章的理解更一步的加深,也便于别人对自己的算法进行比较和创新。

同时能提高文章的曝光率和引用率。

本文就现有的资源进行链接,便于查找和整理。

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新加坡最近利用频率进行saliency提取的方法:

https://sites.google.com/site/leofangyuming/

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code dataset:

 color names:

http://cat.uab.es/~joost/

 

http://www.csee.wvu.edu/~xinl/source.html

Saliency Map的代码:

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1,Yulin Xie, Huchuan Lu,

Visual Saliency Detection Based on Bayesian Model, International Conference on Image

Processing,2011,P645-648,(ICIP2011),(Oral presentation)[PDF][CODE]

来源:http://ice.dlut.edu.cn/lu/publications.html

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2,Yulin Xie, Huchuan Lu, Minghsuan Yang,

Bayesian Saliency via Low and Mid Level Cues,

IEEE Transaction On Image Processing,[PDF][CODE] [Project Site]

来源:http://ice.dlut.edu.cn/lu/publications.html

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3,Ali Borji, Dicky N. Sihite, and Laurent Itti,
" Salient Object Detection: A Benchmark",
ECCV 2012. [supplement]. Code (~ 19 M). [poster]

来源:http://ilab.usc.edu/~borji/Publications.html

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4,Ali Borji and Laurent Itti,
" Exploiting Local and Global Patch Rarities for Saliency Detection,",
IEEE CVPR 2012. [poster] . Code (~ 24 M) . SalMaps [Judd dataset](~ 3.5 M). SalMaps [Bruce&Tsotsos dataset](~ 0.5 M)

来源:http://ilab.usc.edu/~borji/Publications.html

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5,Xiaohui Shen and Ying Wu,

"A Unified Approach to Salient Object Detection via Low Rank Matrix Recovery",

in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [PDF] [code][project]

来源:http://users.eecs.northwestern.edu/~xsh835/LowRankSaliency.html

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Saliency Filters: Contrast Based Filtering for Salient Region Detection
CVPR 2012 [PDF] [Project Page] [Code]

来源:http://www.stanford.edu/~philkr/

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7, Hwann-Tzong Chen

Preattentive Co-Saliency Detection

ICIP 2010 [pdf] [code

来源:http://www.cs.nthu.edu.tw/~htchen/

 

object 相关:

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Alexe, B., Deselares, T. and Ferrari, V.
What is an object?
CVPR 2010. [PDF][code][project]

来源:http://groups.inf.ed.ac.uk/calvin/objectness/

 

segmentation相关:

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来源:http://www.cs.toronto.edu/~babalex/research.html

1, Alex Levinshtein, Cristian Sminchisescu, and Sven Dickinson.

Optimal Contour Closure by Superpixel Grouping

ECCV 2010. Crete, Greece. (Poster, Supplementary material, Code)

2, Alex Levinshtein, Cristian Sminchisescu, and Sven Dickinson.

Multiscale Symmetric Part Detection and Grouping

ICCV 2009. Kyoto, Japan. (Poster, Supplementary material, Code)

3, Alex Levinshtein, Cristian Sminchisescu, and Sven Dickinson.

Spatiotemporal Closure

ACCV 2010. Queenstown, New Zealand. (Presentation, Website with supplementary material, Spatiotemporal Closure Code, Temporal Turbopixels Code)

4,Alex Levinshtein, Adrian Stere, Kiriakos N. Kutulakos, David J. Fleet, Sven J. Dickinson, and Kaleem Siddiqi.

TurboPixels: Fast Superpixels Using Geometric Flows

TPAMI 2009 (vol. 31, no. 12). (Supplementary material including code, Just code, including precompiled binaries for Linux and Windows (32 bit) , 64 bit Windows code thanks to Shaul Oren, A modified superpixels.m function that computes the superpixel segmentation image and not just the superpixel boundaries)

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posted @ 2012-12-08 11:07 hSheng 阅读(...) 评论(...) 编辑 收藏