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My Reading List - Machine Learning && Computer Vision

时间:2015-09-01 21:10:53      阅读:655      评论:0      收藏:0      [点我收藏+]

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本博客汇总了个人在学习过程中所看过的一些论文、代码、资料以及常用的资源与网站,为了便于记录自身的学习过程,将其整理于博客之中。

Machine Learning

(1) Machine Learning Video Library - Caltech 
说明:罗列了机器学习的常用算法以及机器学习图谱

(2) Deep Learning - Bengio 

说明:Deep Learning三大牛之一Bengio写的一本书

(3) Understanding LSTM Networks

说明:非常棒的LSTM教程

(4) Hacker‘s guide to Neural Networks

说明:Standford大学CS博士生Andrej Karpathy写的神经网络学习指南

(5) The Unreasonable Effectiveness of Recurrent Neural Networks

说明:同样Andrej Karpathy写的关于RNN的博客

Computer Vision

Detction Project

(1) RCNN:

Paper: http://www.cs.berkeley.edu/~rbg/papers/r-cnn-cvpr.pdf 

Code: https://github.com/rbgirshick/rcnn

(2) Fast-RCNN: 
Paper: http://arxiv.org/pdf/1504.08083v1.pdf 

Code: https://github.com/rbgirshick/fast-rcnn

(3) Faster-Rcnn: 
Paper: http://arxiv.org/pdf/1506.01497v1.pdf 

Code: UnRelease

(4) SPP-Net: 
Paper: http://arxiv.org/pdf/1406.4729v4.pdf 

Code: https://github.com/ShaoqingRen/SPP_net

(5) YOLO:

Paper: http://arxiv.org/pdf/1506.02640v3.pdf

Code: http://pjreddie.com/darknet/yolo/

(6) End-to-end people detection in crowded scenes:CNN与LSTM结合的目标检测方法

Paper: http://arxiv.org/pdf/1506.04878v3.pdf

Code: https://github.com/Russell91/reinspect

Tracking

(1) CMT: 
Paper: 

cvpr2014: http://www.gnebehay.com/publications/cvpr_2015/cvpr_2015.pdf 

wacv2014: http://www.gnebehay.com/publications/wacv_2014/wacv_2014.pdf 

Website: http://www.gnebehay.com/cmt/ 

Code: 

Python: https://github.com/gnebehay/CMT 

C++: https://github.com/gnebehay/CppMT 

Helpful Blog: 

songrotek: http://blog.csdn.net/songrotek/article/details/47662617

SuperResolution

(1) SCSR 
Paper: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587647 
Code: http://www.ifp.illinois.edu/~jyang29/codes/ScSR.rar 
Website: http://www.ifp.illinois.edu/~jyang29/ScSR.htm

(2) SRCNN 
Paper: 
eccv2014: http://personal.ie.cuhk.edu.hk/~ccloy/files/eccv_2014_deepresolution.pdf 
T-PAMI: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7115171 
Website: http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html 
Code: http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html

People

(1) Ross B. Girshick - The Author of RCNN、Fast-RCNN 
Website: http://www.cs.berkeley.edu/~rbg/#girshick2014rcnn 
Github: https://github.com/rbgirshick

(2) Shaoqing Ren - The Author of Faster-Rcnn、SPP-Net 
Website: http://home.ustc.edu.cn/~sqren/ 
Github: https://github.com/ShaoqingRen

(3) Georg Nebehay - The Author of CMT 
Website: http://www.gnebehay.com 
Github: https://github.com/gnebehay

(4) Jianchao Yang - The Author of SCSR 
Website: http://www.ifp.illinois.edu/~jyang29/

Interestiing Things

(1) 全景图 
作者:M.S_2308 
介绍: http://www.guokr.com/post/444888/ 
分析:http://www.guokr.com/post/445059/ 
软件:http://matthewalunbrown.com/autostitch/autostitch.html

(2) Kaggle Competition: Denoising Dirty Documents 
Proplem Website: https://www.kaggle.com/c/denoising-dirty-documents/data 
Solution Website: http://colinpriest.com/

 

My Reading List - Machine Learning && Computer Vision

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原文地址:http://www.cnblogs.com/jujy361/p/4776710.html

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