hash 图像检索方法汇总

电玩女神 2022-06-05 07:49 192阅读 0赞

本文参考来自：[http://yongyuan.name/blog/codes-of-hash-for-image-retrieval.html][http_yongyuan.name_blog_codes-of-hash-for-image-retrieval.html]

## 哈希方法 ##

主要贴公布代码的：

1.  AGH: Hashing with Graphs, [Paper][] and [Code][]
2.  BPBC: Learning Binary Codes for High-Dimensional Data Using Bilinear Projections, [Paper][Paper 1] and [Code][Code 1]
3.  BRE: Learning to Hash with Binary Reconstructive Embeddings [Paper][Paper 2] and [Code][Code 2]
4.  DBQ: Double-bit quantization for hashing [Paper][Paper 3] and [Code][Code 3]
5.  E2LSH: Local Sensitive Hash, [Project Page][]
6.  HDML: Hamming Distance Metric Learning, [Paper][Paper 4] and [Code][Code 4]
7.  IMH: Inter-Media Hashing for Large-scale Retrieval from Heterogenous Data Sources, [Project Page][Project Page 1] and [Code][Code 5]
8.  ISOH: Isotropic Hashing, [Paper][Paper 5] and [Code][Code 6]
9.  ITQ: Iterative Quantization: A Procrustean Approach to Learning Binary Codes [Paper][Paper 6] and [Code][Code 7] 已下线
10. KLSH: Kernelized Locality-Sensitive Hashing for Scalable Image Search, [Project Page][Project Page 2], [Paper][Paper 7] and [Code][Code 8]
11. KMH: K-means Hashing: an Affinity-Preserving Quantization Method for Learning Binary Compact Codes, [Paper][Paper 8] and[Code][Code 9]
12. KSH: Supervised Hashing with Kernels, [Paper][Paper 9] and [Code][Code 10]
13. MDSH: Multidimensional Spectral Hashing, [Paper][Paper 10] and [Code][Code 11]
14. MH: Manhattan hashing for large-scale image retrieval, [Paper][Paper 11] and [Code][Code 12]
15. MLH: Minimal Loss Hashing for Compact Binary Codes, [Paper][Paper 12], [Code][Code 13] and [Slide][]
16. OPQ: Optimized Product Quantization for Approximate Nearest Neighbor Search, [Paper][Paper 13] and [Code][Code 14]
17. SH: Spectral Hashing, [Paper][Paper 14] and [Code][Code 15]
18. IHM: Inductive Hashing on Manifolds (2013 CVPR) [ProjectPage][]
19. BSPH: Semi-supervised Nonlinear Hashing Using Bootstrap Sequential Projection Learning (2012 TKDE),[ProjectPage][ProjectPage 1]
20. FastHash: Fast Supervised Hashing with Decision Trees for High-Dimensional Data (2014 CVPR) [Code][Code 16]
21. Spherical Hashing: Spherical Hashing (2012 CVPR)
22. PDH: Predictable Dual-View Hashing, [Paper][Paper 15] (ICML2013)

另外推荐两个整理的：[Learning to Hash][], [Introduction to Hashing][].

## 常用数据库 ##

1.  [LabelMe][]
2.  [min-loss-hashing][]
3.  [图像检索：常用图像库整理][Link 1]

## 关注的人 ##

注：下面不同的哈希方法的代码可以在他们的主页上找到

*  [Grauman][], [Image search and large-scale retrieval][]系列Paper
 *  [Norouzi][]

> Hamming Distance Metric Learning  
> Fast Search in Hamming Space with Multi-Index Hashing  
> Minimal Loss Hashing for Compact Binary Codes, [code][Code 13]

*  [Fergus][Grauman]

> Spectral Hashing  
> Multidimensional Spectral Hashing

*  [Chhshen & Guosheng Lin][Chhshen _ Guosheng Lin]

> A general two-step approach to learning-based hashing (CVPR 2013), [code][], [阅读笔记][Link 2]  
> Learning hash functions using column generation (ICML 2013), [code][code 1]  
> Fast Supervised Hashing with Decision Trees (CVPR 2014), [Paper][Paper 16] and [code][code 2]

*  [Yunchao][]

> Iterative Quantization (CVPR 2011), [Project page][]  
> Angular Quantization-based Binary Codes for Fast Similarity Search (NIPS 2012), [Project page][Project page 1]  
> Learning Binary Codes for High-Dimensional Data Using Bilinear Projections (CVPR 2013), [Project page][Code 1]

*  [kahe][]

> K-means Hashing (CVPR 2013), [code][code 3]  
> Optimized Product Quantization (CVPR 2013), [Project page][Project page 2]

*  [Jun Wang][]
 *  [Wei Liu][], 代表方法AGH
 *  [Xianglong LIU][], 刘老师是2012年开始做哈希，发表过一系列论文，是国内做哈希比较早的学者，在他的主页上有一些他发表的哈希文章的代码。

## 他人讲解papers的一些好博文 ##

*  [Locality Sensitive Hashing(LSH)之随机投影法][Locality Sensitive Hashing_LSH]
 *  [Semi-Supervised Hashing][]
 *  [Spherical Hashing][]

## 非哈希方法 ##

*  [Liang Zheng][]
    
     *  Packing and Padding: Coupled Multi-Index for Accurate Image Retrieval
     *  Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval
     *  Lp-norm IDF for Large Scale Image Search
     *  Visual Phraselet: Refining Spatial Constraints for Large Scale Image Search

感谢这些公布代码的大神，本小硕向你们致以崇高的敬意，如果各位看官发觉还有没收录进来的，恳请留言以便补充完整。

[http_yongyuan.name_blog_codes-of-hash-for-image-retrieval.html]: http://yongyuan.name/blog/codes-of-hash-for-image-retrieval.html
[Paper]: http://machinelearning.wustl.edu/mlpapers/paper_files/ICML2011Liu_6.pdf
[Code]: http://www.ee.columbia.edu/~wliu/Anchor_Graph_Hash.zip
[Paper 1]: http://www.unc.edu/~yunchao/papers/CVPR13.pdf
[Code 1]: http://www.unc.edu/~yunchao/bpbc.htm
[Paper 2]: http://www.cse.ohio-state.edu/~kulis/pubs/bre_nips.pdf
[Code 2]: http://www.cse.ohio-state.edu/~kulis/bre/bre.tar.gz
[Paper 3]: http://cs.nju.edu.cn/lwj/paper/AAAI12_DBQ.pdf
[Code 3]: http://cs.nju.edu.cn/lwj/code/DBQ.rar
[Project Page]: http://www.mit.edu/~andoni/LSH/
[Paper 4]: http://www.cs.toronto.edu/~norouzi/research/papers/hdml.pdf
[Code 4]: https://github.com/norouzi/hdml
[Project Page 1]: http://staff.itee.uq.edu.au/shenht/UQ_IMH
[Code 5]: http://staff.itee.uq.edu.au/shenht/UQ_IMH/imh.7z
[Paper 5]: http://cs.nju.edu.cn/lwj/paper/NIPS12-IsoHash.pdf
[Code 6]: http://cs.nju.edu.cn/lwj/code/IsoHash.zip
[Paper 6]: http://www.unc.edu/~yunchao/papers/CVPR11_a.pdf
[Code 7]: http://www.unc.edu/~yunchao/code/smallcode.zip
[Project Page 2]: http://www.cse.ohio-state.edu/~kulis/klsh/klsh.htm
[Paper 7]: http://www.cse.ohio-state.edu/~kulis/pubs/iccv_klsh.pdf
[Code 8]: http://www.cse.ohio-state.edu/~kulis/klsh/klsh_code.tar.gz
[Paper 8]: http://131.107.65.14/en-us/um/people/kahe/publications/cvpr13kmh.pdf
[Code 9]: http://131.107.65.14/en-us/um/people/kahe/cvpr13/matlab_KMH_release_v1.1.rar
[Paper 9]: http://www.ee.columbia.edu/~wliu/CVPR12_ksh.pdf
[Code 10]: http://www.ee.columbia.edu/~wliu/ksh_code.zip
[Paper 10]: http://people.csail.mit.edu/torralba/publications/msh_eccv12.pdf
[Code 11]: http://www.cs.huji.ac.il/~yweiss/export2.tar
[Paper 11]: http://cs.nju.edu.cn/lwj/paper/SIGIR12_MH.pdf
[Code 12]: http://cs.nju.edu.cn/lwj/code/MH.rar
[Paper 12]: http://www.cs.toronto.edu/~norouzi/research/papers/min_loss_hash.pdf
[Code 13]: http://www.cs.toronto.edu/~norouzi/research/mlh/
[Slide]: http://www.cs.toronto.edu/~norouzi/research/slides/mlh-icml.ppt
[Paper 13]: http://131.107.65.14/en-us/um/people/kahe/publications/cvpr13opq.pdf
[Code 14]: http://131.107.65.14/en-us/um/people/kahe/cvpr13/matlab_OPQ_release_v1.1.rar
[Paper 14]: http://people.csail.mit.edu/torralba/publications/spectralhashing.pdf
[Code 15]: http://www.cs.huji.ac.il/~yweiss/SpectralHashing/sh.zip
[ProjectPage]: http://cs.adelaide.edu.au/~chhshen/projects/inductive_hashing/
[ProjectPage 1]: http://appsrv.cse.cuhk.edu.hk/~jkzhu/bnsplh/
[Code 16]: https://bitbucket.org/chhshen/fasthash
[Paper 15]: http://www.umiacs.umd.edu/~jhchoi/paper/icml2013_pdh.pdf
[Learning to Hash]: http://cs.nju.edu.cn/lwj/L2H.html
[Introduction to Hashing]: http://stoudemireyan32.wix.com/yanli#!introduction-to-hashing/c1z2j
[LabelMe]: http://www.cs.toronto.edu/~norouzi/research/mlh/data/LabelMe_gist.mat
[min-loss-hashing]: https://github.com/willard-yuan/min-loss-hashing/tree/master/matlab
[Link 1]: http://yongyuan.name/blog/database-for-cbir.html
[Grauman]: http://cs.nyu.edu/~fergus/pmwiki/pmwiki.php?n=PmWiki.Publications
[Image search and large-scale retrieval]: http://www.cs.utexas.edu/~grauman/research/pubs-by-topic.html#Fast_similarity_search_and_image
[Norouzi]: http://www.cs.toronto.edu/~norouzi/
[Chhshen _ Guosheng Lin]: http://cs.adelaide.edu.au/~chhshen/notes.html
[code]: https://bitbucket.org/guosheng/two-step-hashing
[Link 2]: http://www.dreamingo.com:9999/blog/General%20Two%20Step%20Approach%20to%20Learning%20Ba
[code 1]: https://bitbucket.org/guosheng/column-generation-hashing
[Paper 16]: http://arxiv.org/pdf/1404.1561v1.pdf
[code 2]: https://bitbucket.org/chhshen/fasthash/
[Yunchao]: http://www.unc.edu/~yunchao/
[Project page]: http://www.unc.edu/~yunchao/itq.htm
[Project page 1]: http://www.unc.edu/~yunchao/aqbc.htm
[kahe]: http://research.microsoft.com/en-us/um/people/kahe/
[code 3]: http://research.microsoft.com/en-us/um/people/kahe/cvpr13/matlab_KMH_release_v1.1.rar
[Project page 2]: http://research.microsoft.com/en-us/um/people/kahe/cvpr13/index.html
[Jun Wang]: http://www.ee.columbia.edu/~jwang/
[Wei Liu]: http://www.ee.columbia.edu/~wliu/
[Xianglong LIU]: http://www.nlsde.buaa.edu.cn/~xlliu/
[Locality Sensitive Hashing_LSH]: http://www.strongczq.com/2012/04/locality-sensitive-hashinglsh%E4%B9%8B%E9%9A%8F%E6%9C%BA%E6%8A%95%E5%BD%B1%E6%B3%95.html
[Semi-Supervised Hashing]: http://www.dreamingo.com:9999/blog/Semi-Supervised_Hashing
[Spherical Hashing]: http://blog.csdn.net/zwwkity/article/details/8565485?reload
[Liang Zheng]: http://www.liangzheng.org/Publication.html