Learning to Hash. Paper, Code and Dataset

小咪咪 2022-05-16 00:46 182阅读 0赞

转载自[https://blog.csdn.net/liuheng0111/article/details/53116108][https_blog.csdn.net_liuheng0111_article_details_53116108]，仅用作个人学习，如需删除请见谅并联系本人。

<table> 
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 <td>Table of Content 
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 <td> 
 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#quick-guide" rel="nofollow">Introduction</a></li> 
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 <td> 
 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#tutorial" rel="nofollow">Tutorial Slides</a></li> 
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 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#data-independent-method" rel="nofollow">Data-Independent Method</a></li> 
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 <td> 
 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#data-dependent-method" rel="nofollow">Learning to Hash Method (Data-Dependent Method)</a></li> 
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 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#unsupervised-hashing" rel="nofollow">Unsupervised Hashing</a></li> 
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 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#supervised-hashing" rel="nofollow">Supervised Hashing</a></li> 
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 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#ranking-based-hashing" rel="nofollow">Ranking-Based Hashing</a></li> 
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 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#multi-modal-hashing" rel="nofollow">Multi-Modal Hashing</a></li> 
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 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#deep-hashing" rel="nofollow">Deep Hashing</a></li> 
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 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#online-hashing" rel="nofollow">Online Hashing</a></li> 
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 <td> 
 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#quantization" rel="nofollow">Quantization for Hashing</a></li> 
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 <td> 
 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#distributed-hashing" rel="nofollow">Distributed Hashing</a></li> 
 </ul></td> 
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 <td> 
 <ul> 
 <li><a href="http://cs.nju.edu.cn/lwj/L2H.html#dataset" rel="nofollow">Dataset</a></li> 
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 <td>&nbsp;</td> 
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 <tr> 
 <td><a rel="nofollow"></a>Introduction 
 <hr></td> 
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 <td> This homepage lists some representative papers about hashing, especially Learning to Hash, for big data applications. If you have any question, feel free to contact&nbsp;<a href="http://cs.nju.edu.cn/lwj/" rel="nofollow">Dr. Wu-Jun LI</a>. </td> 
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 <td>&nbsp;</td> 
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 <td><a rel="nofollow"></a>Tutorial Slides 
 <hr></td> 
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 <td> The tutorial slides about Learning to Hash, provided by<a href="http://cs.nju.edu.cn/lwj/" rel="nofollow">&nbsp;Dr. Wu-Jun LI</a>, can be downloaded from<a href="http://cs.nju.edu.cn/lwj/slides/L2H.pdf" rel="nofollow">http://cs.nju.edu.cn/lwj/slides/L2H.pdf</a> </td> 
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 <td>&nbsp;</td> 
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 <td><a rel="nofollow"></a>Data Independent Method 
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 <ul> 
 <li>Similarity Search in High Dimensions via Hashing [<a href="http://www.cs.princeton.edu/courses/archive/spring13/cos598C/Gionis.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Aristides Gionis, Piotr Indyk and Rajeev Motwani. [VLDB], 1999.</li> 
 <li>Locality-Sensitive Hashing Scheme Based on p-Stable Distributions [<a href="http://dl.acm.org/citation.cfm?id=997857" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Mayur Datar, Nicole Immorlica, Piotr Indyk, Vahab S. Mirrokni. [SCG], 2004.</li> 
 <li>Near-Optimal Hashing Algorithms for Approximate Nnearest Neighbor in High Dimensions. [<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=4031381" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Alexandr Andoni and Piotr Indyk. [Communications of the ACM&nbsp;], 2008.</li> 
 <li>Kernelized Locality-Sensitive Hashing for Scalable Image Search [<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5459466" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Brian Kulis and Kristen Grauman. [ICCV], 2009.&nbsp;</li> 
 <li>Fast Similarity Search for Learned Metrics [<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5204087" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Prateek Jain, Brian Kulis and Kristen Grauman. [TPAMI], 2009.</li> 
 <li>Locality-Sensitive Binary Codes from Shift-Invariant Kernels [<a href="http://papers.nips.cc/paper/3749-locality-sensitive-binary-codes-from-shift-invariant-kernels" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Maxim Raginsky and Svetlana Lazebnik. [NIPS], 2009.&nbsp;</li> 
 <li>Hashing Algorithms for Large Scale Learning [<a href="http://papers.nips.cc/paper/4403-hashing-algorithms-for-large-scale-learning.pdf" rel="nofollow">paper</a>]&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;Ping Li, Anshumali Shrivastava, Joshua Moore and Christian Konig. [NIPS], 2011.&nbsp;</li> 
 <li>Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search. [<a href="http://jmlr.org/proceedings/papers/v32/shrivastava14.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Anshumali Shrivastava and Ping Li. [ICML], 2014</li> 
 <li>Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS). [<a href="http://papers.nips.cc/paper/5329-asymmetric-lsh-alsh-for-sublinear-time-maximum-inner-product-search-mips.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Anshumali Shrivastava and Ping Li. [NIPS], 2014.</li> 
 <li>0-Bit Consistent Weighted Sampling. [<a href="http://dl.acm.org/citation.cfm?id=2783406" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Ping Li. [KDD], 2015</li> 
 <li>Practical and Optimal LSH for Angular Distance. [<a href="https://papers.nips.cc/paper/5893-practical-and-optimal-lsh-for-angular-distance.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Alexandr Andoni, Piotr Indyk and Thijs Laarhoven. [NIPS], 2015</li> 
 <li> &nbsp;</li> 
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 <td>&nbsp;</td> 
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 <td><a rel="nofollow"></a>Learning to Hash Method (Data Dependent Method) 
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 <li>Unsupervised Hashing</li> 
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 <ul> 
 <li>Spectral Hashing [<a href="http://people.csail.mit.edu/torralba/publications/spectralhashing.pdf" rel="nofollow">paper</a>][<a href="http://www.cs.huji.ac.il/~yweiss/SpectralHashing/sh.zip" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Yair Weiss, Antonio Torralba and Rob Fergus. [NIPS], 2008</li> 
 <li>Self-Taught Hashing for Fast Similarity Search [<a href="http://www.dcs.bbk.ac.uk/~dell/publications/dellzhang_sigir2010.pdf" rel="nofollow">paper</a>][<a href="http://www.dcs.bbk.ac.uk/~dell/publications/dellzhang_sigir2010/sth_v1.zip" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Dell Zhang, Jun Wang, Deng Cai and Jinsong Lu. [SIGIR], 2010</li> 
 <li>Hashing with Graphs [<a href="http://www.ee.columbia.edu/~wliu/ICML11_AGH.pdf" rel="nofollow">paper</a>][<a href="http://www.ee.columbia.edu/~wliu/" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Wei Liu, Jun Wang, Sanjiv Kumar and Shih-Fu Chang. [ICML], 2011</li> 
 <li>Iterative Quantization: A Procerustean Approach to Learning Binary Codes [<a href="http://www.unc.edu/~yunchao/papers/CVPR11_a.pdf" rel="nofollow">paper</a>][<a href="http://www.unc.edu/~yunchao/code/smallcode.zip" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Yunchao Gong and Svetlana Lazebnik. [CVPR], 2011</li> 
 <li>Isotropic Hashing [<a href="http://cs.nju.edu.cn/lwj/paper/NIPS12-IsoHash.pdf" rel="nofollow">paper</a>][<a href="http://cs.nju.edu.cn/lwj/code/IsoHash.zip" rel="nofollow">code</a>]&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;Weihao Kong and Wu-Jun Li. [NIPS], 2012</li> 
 <li>Spherical Hashing [<a href="http://sglab.kaist.ac.kr/Spherical_Hashing/Spherical_Hashing.pdf" rel="nofollow">paper</a>][<a href="http://sglab.kaist.ac.kr/projects/Spherical_Hashing/static/media/uploads/Spherical_Hashing_Src_CPP.zip" rel="nofollow">C++ code</a>][<a href="http://sglab.kaist.ac.kr/projects/Spherical_Hashing/static/media/uploads/Spherical_Hashing_Src_Matlab.zip" rel="nofollow">matlab code</a>][<a href="http://sglab.kaist.ac.kr/Spherical_Hashing/SphericalHashing_Slide.pdf" rel="nofollow">slide</a>] &nbsp;&nbsp;&nbsp;&nbsp;Jae-Pil Heo, Youngwoon Lee, Junfeng He, Shih-Fu Chang and Sung-Eui Yoon. [CVPR], 2012</li> 
 <li>Harmonious Hashing [<a href="http://ijcai.org/papers13/Papers/IJCAI13-269.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Bin Xu, Jiajun Bu, Yue Lin Chun Chen, Xiaofei He and Deng Cai. [IJCAI], 2013</li> 
 <li>Complementary Projection Hashing [<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6751141" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Zhongming Jin, Yao Hu, Yue Lin, Debing Zhang, Shiding Lin, Deng Cai and Xuelong Li. [ICCV], 2013</li> 
 <li>Inductive Hashing on Manifolds [<a href="https://sites.google.com/site/shenfumin/" rel="nofollow">paper</a>][<a href="https://sites.google.com/site/shenfumin/" rel="nofollow">supplementary</a>][<a href="https://sites.google.com/site/shenfumin/" rel="nofollow">code</a>][<a href="https://sites.google.com/site/shenfumin/" rel="nofollow">poster</a>] &nbsp;&nbsp;&nbsp;&nbsp;Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel and Zhenmin Tang. [CVPR], 2013</li> 
 <li>Learning Binary Codes for High-Dimensional Data Using Bilinear Projections [<a href="http://www.unc.edu/~yunchao/papers/CVPR13.pdf" rel="nofollow">paper</a>][<a href="http://www.unc.edu/~yunchao/bpbc.htm" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Yunchao Gong, Sanjiv Kumar, Henry A. Rowley and Svetlana Lazebnik. [CVPR], 2013</li> 
 <li>Discrete Graph Hashing [<a href="http://www.ee.columbia.edu/~wliu/NIPS14_dgh.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Wei Liu, Cun Mu, Sanjiv Kumar and Shih-Fu Chang. [NIPS], 2014</li> 
 <li>Circulant Binary Embedding [<a href="http://www.felixyu.org/cbe.html" rel="nofollow">paper</a>][<a href="http://www.felixyu.org/cbe.html" rel="nofollow">code</a>][<a href="http://www.felixyu.org/cbe.html" rel="nofollow">slide</a>] &nbsp;&nbsp;&nbsp;&nbsp;Felix Xu, Sanjiv Kumar, Yunchao Gong and Shih-Fu Chang. [ICML], 2014</li> 
 <li>Locality Linear Hashing for Extracting Non-Linear Manifolds. [<a href="http://www.ee.columbia.edu/~xmwu/publications.html" rel="nofollow">paper</a>][<a href="http://www.ee.columbia.edu/~xmwu/publications.html" rel="nofollow">supplementary</a>] &nbsp;&nbsp;&nbsp;&nbsp;Go Irie, Zhenguo Li and Xiao-Ming Wu and Shih-Fu Chang. [CVPR], 2014</li> 
 <li>Large-Scale Unsupervised Hashing with Shared Structure Learning [<a href="http://www.ncbi.nlm.nih.gov/pubmed/25420275" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Xianglong Liu, Yadong Mu, Danchen Zhang, Bo Lang, Xuelong Li. [IEEE Transactions on Cybernetics], 2015</li> 
 <li>Learning Binary Codes for Maximum Inner Product Search. [<a href="http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Shen_Learning_Binary_Codes_ICCV_2015_paper.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, Heng Tao Shen. [ICCV], 2015</li> 
 <li>An NMF perspective on Binary Hashing. [<a href="http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Mukherjee_An_NMF_Perspective_ICCV_2015_paper.pdf" rel="nofollow">paper</a>] Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes and Vikas Singh. [ICCV], 2015</li> 
 <li>Scalable Graph Hashing with Feature Transformation. [<a href="http://cs.nju.edu.cn/lwj/paper/IJCAI15_SGH.pdf" rel="nofollow">paper</a>][<a href="http://cs.nju.edu.cn/lwj/code/SGH.rar" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Qing-Yuan Jiang and Wu-Jun Li. [IJCAI], 2015</li> 
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 <ul> 
 <li>Supervised Hashing</li> 
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 <ul> 
 <li>Semi-Supervised Hashing for Scalable Image Retrieval&nbsp;<a href="http://www.ee.columbia.edu/ln/dvmm/publications/10/SSH_CVPR2010.pdf" rel="nofollow">[paper]</a> &nbsp;&nbsp;&nbsp;&nbsp;Jun Wang, Sanjiv Kumar, and Shih-Fu Chang. [CVPR], 2010</li> 
 <li>Minimal Loss Hashing for Compact Binary Codes&nbsp;<a href="http://www.cs.toronto.edu/~norouzi/research/papers/min_loss_hash.pdf" rel="nofollow">[paper]</a>&nbsp;<a href="http://www.cs.toronto.edu/~norouzi/research/mlh/" rel="nofollow">[code]</a> &nbsp;&nbsp;&nbsp;&nbsp;Mohammad Norouzi and David M. Blei. [ICML], 2011</li> 
 <li>Supervised Hashing with Kernels&nbsp;<a href="http://www.ee.columbia.edu/~wliu/CVPR12_ksh.pdf" rel="nofollow">[paper]</a><a href="http://www.ee.columbia.edu/~wliu/ksh_code.zip" rel="nofollow">[code]</a> &nbsp;&nbsp;&nbsp;&nbsp;Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, and Shih-Fu Chang.[CVPR], 2012</li> 
 <li>LDAHash: Improved Matching with Smaller Descriptors&nbsp;<a href="http://wiki.epfl.ch/edicpublic/documents/Candidacy%20exam/LDAHash.pdf" rel="nofollow">[paper]</a>&nbsp;<a href="http://cvlab.epfl.ch/research/detect/ldahash" rel="nofollow">[code]</a> &nbsp;&nbsp;&nbsp;&nbsp;Christoph Strecha, Alexander M. Bronstein, Michael M. Bronstein, and Pascal Fua. [TPAMI], 2012</li> 
 <li>A General Two-Step Approach to Learning-based Hashing&nbsp;<a href="http://dx.doi.org/10.1109/ICCV.2013.317" rel="nofollow">[paper]</a>&nbsp;<a href="https://bitbucket.org/guosheng/two-step-hashing" rel="nofollow">[code]</a> &nbsp;&nbsp;&nbsp;&nbsp;Guosheng Lin, Chunhua Shen, David Suter, and Anton van den Hengel. [ICCV], 2013</li> 
 <li>Supervised binary hash code learning with jensen shannon divergence&nbsp;<a href="http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Fan_Supervised_Binary_Hash_2013_ICCV_paper.pdf" rel="nofollow">[paper]</a> &nbsp;&nbsp;&nbsp;&nbsp;Lixin Fan. [ICCV], 2013</li> 
 <li>The power of asymmetry in binary hashing&nbsp;<a href="http://ttic.uchicago.edu/~yury/papers/nips2013_asym.pdf" rel="nofollow">[paper]</a>&nbsp;<a href="http://ttic.uchicago.edu/~bneyshabur/papers/asymmetric_codes_v1.0.tar" rel="nofollow">[code]</a> &nbsp;&nbsp;&nbsp;&nbsp;Behnam Neyshabur, Nati Srebro, Ruslan R. Salakhutdinov, Yury Makarychev, Payman Yadollahpour. [NIPS], 2013</li> 
 <li>Graph cuts for supervised binary coding&nbsp;<a href="http://research.microsoft.com/en-us/um/people/kahe/publications/eccv14gcc.pdf" rel="nofollow">[paper]</a> &nbsp;&nbsp;&nbsp;&nbsp;Tiezheng Ge, Kaiming He, and Jian Sun. [ECCV], 2014</li> 
 <li>Fast supervised hashing with decision trees for high-dimensional data&nbsp;<a href="https://bitbucket.org/chhshen/fasthash/src" rel="nofollow">[paper]</a>&nbsp;<a href="https://bitbucket.org/chhshen/fasthash/" rel="nofollow">[code]</a> &nbsp;&nbsp;&nbsp;&nbsp;Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter. [CVPR], 2014</li> 
 <li>Supervised hashing with latent factor models&nbsp;<a href="http://cs.nju.edu.cn/lwj/paper/SIGIR14_LFH.pdf" rel="nofollow">[paper]</a>&nbsp;<a href="http://cs.nju.edu.cn/lwj/code/LFH.rar" rel="nofollow">[code]</a> &nbsp;&nbsp;&nbsp;&nbsp;Peichao Zhang, Wei Zhang, Wu-Jun Li, and Minyi Guo. [SIGIR], 2014</li> 
 <li>Supervised Discrete Hashing&nbsp;<a href="http://bmc.uestc.edu.cn/~fshen/SDH.pdf" rel="nofollow">[paper]</a>&nbsp;<a href="https://github.com/bd622/DiscretHashing" rel="nofollow">[code]</a> &nbsp;&nbsp;&nbsp;&nbsp;Fumin Shen, Chunhua Shen, Wei Liu, and Heng Tao Shen. [CVPR], 2015</li> 
 <li>kNN Hashing with Factorized Neighborhood Representation. [<a href="http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Ding_kNN_Hashing_With_ICCV_2015_paper.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan. [ICCV], 2015</li> 
 <li>Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction [<a href="http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Li_Two_Birds_One_ICCV_2015_paper.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen. [ICCV], 2015</li> 
 <li>Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing. [<a href="http://www.sciencedirect.com/science/article/pii/S016516841400351X" rel="nofollow">paper</a>]&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Cheng Deng, Xianglong Liu, Yadong Mu, Jie Li. [Signal Processing], 2015</li> 
 <li>Column sampling based discrete supervised hashing. [<a href="http://cs.nju.edu.cn/lwj/paper/AAAI16_COSDISH.pdf" rel="nofollow">paper</a>] [<a href="http://cs.nju.edu.cn/lwj/code/COSDISH.zip" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Wang-Cheng Kang, Wu-Jun Li and Zhi-Hua Zhou. [AAAI], 2016</li> 
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 <ul> 
 <li>Ranking-Based Hashing</li> 
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 <ul> 
 <li>Hamming Distance Metric Learning [<a href="http://papers.nips.cc/paper/4808-hamming-distance-metric-learning.pdf" rel="nofollow">paper</a>] [<a href="https://github.com/norouzi/hdml" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Mohammad Norouzi, David J. Fleet, Ruslan Salakhutdinov. [NIPS], 2012</li> 
 <li>Learning Hash Functions Using Column Generation [<a href="http://www.jmlr.org/proceedings/papers/v28/li13a.pdf" rel="nofollow">paper</a>][<a href="https://bitbucket.org/ningche001/column-generation-hashing/src/8d1c53f219cfc2b2f38e407079776e4f62c3dc89/CGHash/?at=master" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Xi Li, Guosheng Lin,Chunhua Shen,Anton van den Hengel,Anthony Dick. [ICML], 2013</li> 
 <li>Order preserving Hashing for Approximate Nearest Neighbor Search [<a href="http://research.microsoft.com/en-us/um/people/jingdw/pubs%5CACMMM13-OrderPreservingHashing.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Jianfeng Wang, Jingdong Wang, and Nenghai Yu,Shipeng Li. [ACM MM], 2013</li> 
 <li>Learning Hash Codes with Listwise Supervision [<a href="http://www.ee.columbia.edu/~wliu/ICCV13_rankhash.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Jun Wang, Wei Liu,Andy X. Sun,Yu-Gang Jiang. [ICCV], 2013</li> 
 <li>Optimizing Ranking Measures for Compact Binary Code Learning [<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-10578-9_40" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Guosheng Lin, Chunhua Shen, Jianxin Wu. [ECCV], 2014</li> 
 <li>Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search [<a href="http://www.nlsde.buaa.edu.cn/~xlliu/mm2014.pdf" rel="nofollow">paper</a>][<a href="http://www.nlsde.buaa.edu.cn/~xlliu/QRank.zip" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Tianxu Ji, Xianglong Liu, Cheng Deng, Lei Huang, Bo Lang. [ACM MM], 2014</li> 
 <li>Ranking Preserving Hashing for Fast Similarity Search [<a href="http://ijcai.org/papers15/Papers/IJCAI15-549.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Qifan Wang, Zhiwei Zhang,Luo Si. [IJCAI], 2015</li> 
 <li>Top Rank Supervised Binary Coding for Visual Search [<a href="http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Song_Top_Rank_Supervised_ICCV_2015_paper.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith. [ICCV], 2015</li> 
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 <td><a rel="nofollow"></a> 
 <ul> 
 <li>Multi-Modal Hashing</li> 
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 <ul> 
 <li>Composite Hashing with Multiple Information Sources [<a href="https://www.cs.purdue.edu/homes/lsi/SIGIR_2011B.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Dan Zhang, Fei Wang, Luo Si. [ACM SIGIR], 2011</li> 
 <li>Learning hash functions for cross-view similarity search [<a href="http://research.microsoft.com/pubs/151205/ijcai11.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Shaishav Kumar and Raghavendra Udupa. [IJCAI], 2011</li> 
 <li>Co-Regularized Hashing for Multimodal Data [<a href="http://papers.nips.cc/paper/4793-co-regularized-hashing-for-multimodal-data.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Yi Zhen and Dit-Yan Yeung. [NIPS], 2012</li> 
 <li>Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources [<a href="http://dl.acm.org/citation.cfm?id=2465274" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Jingkuan Song, Yang Yang, Yi Yang, Zi Huang and Heng Tao Shen. [SIGMOD], 2013</li> 
 <li>Comparing apples to oranges: a scalable solution with heterogeneous hashing [<a href="http://media.cs.tsinghua.edu.cn/~multimedia/cuipeng/papers/HeterogeneousHashing.pdf" rel="nofollow">paper</a>]&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang. [KDD], 2013</li> 
 <li>Large-scale supervised multimodal hashing with semantic correlation maximization [<a href="http://cs.nju.edu.cn/lwj/paper/AAAI14_SCM.pdf" rel="nofollow">paper</a>][<a href="http://cs.nju.edu.cn/lwj/code/SCMHash_Release.zip" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Dongqing Zhang and Wu-Jun Li. [AAAI], 2014</li> 
 <li>Collective Matrix Factorization Hashing for Multimodal data [<a href="http://ise.thss.tsinghua.edu.cn/MIG/CVPR2014%20Collective%20Matrix%20Factorization%20Hashing%20for%20Multimodal%20Data.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Guiguang Ding, Yuchen Guo and Jile Zhou.[CVPR], 2014</li> 
 <li>Collaborative Hashing [<a href="http://www.nlsde.buaa.edu.cn/~xlliu/cvpr2014.pdf" rel="nofollow">paper</a>][<a href="http://www.nlsde.buaa.edu.cn/~xlliu/CH.zip" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Xianglong Liu, Junfeng He, Cheng Deng, Bo Lang. [CVPR], 2014</li> 
 <li>Quantized correlation hashing for fast cross-modal search [<a href="http://ijcai.org/papers15/Papers/IJCAI15-554.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Botong Wu, Qiang Yang, Wei-Shi Zheng, Yizhou Wang and Jingdong Wang.[IJCAI], 2015</li> 
 <li>Semantic Topic Multimodal Hashing for Cross-Media Retrieval [<a href="http://ijcai.org/papers15/Papers/IJCAI15-546.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He. [IJCAI], 2015</li> 
 <li>Semantics-Preserving Hashing for Cross-View Retrieval [<a href="http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Lin_Semantics-Preserving_Hashing_for_2015_CVPR_paper.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang. [CVPR], 2015</li> 
 <li>Multi-View Complementary Hash Tables for Nearest Neighbor Search [<a href="http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Liu_Multi-View_Complementary_Hash_ICCV_2015_paper.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land. [ICCV], 2015</li> 
 <li>Alternating Co-Quantization for Cross-modal Hashing [<a href="http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Irie_Alternating_Co-Quantization_for_ICCV_2015_paper.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Go Irie, Hiroyuki Arai and Yukinobu Taniguchi. [ICCV], 2015</li> 
 <li>Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision. [<a href="http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9648/10001" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin. [AAAI], 2015</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td>&nbsp;</td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>Deep Hashing</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td> 
 <ul> 
 <li>Supervised Hashing via Image Representation Learning [<a href="http://ss.sysu.edu.cn/~py/papers/AAAI-CNNH.pdf" rel="nofollow">paper</a>][<a href="http://ss.sysu.edu.cn/~py/CNNH/cnnh.html" rel="nofollow">code</a>][<a href="http://ss.sysu.edu.cn/~py/CNNH-slides.pdf" rel="nofollow">slide</a>] &nbsp;&nbsp;&nbsp;&nbsp;Rongkai Xia , Yan Pan, Hanjiang Lai, Cong Liu, and Shuicheng Yan. [AAAI], 2014</li> 
 <li>Simultaneous Feature Learning and Hash Coding with Deep Neural Networks [<a href="http://arxiv.org/pdf/1504.03410v1.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Hanjiang Lai, Yan Pan, Ye Liu, and Shuicheng Yan. [CVPR], 2015</li> 
 <li>Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification [<a href="http://arxiv.org/pdf/1508.04535v2.pdf" rel="nofollow">paper</a>][<a href="https://github.com/ruixuejianfei/BitScalableDeepHash" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, and Lei Zhang. [TIP], 2015</li> 
 <li>Convolutional Neural Networks for Text Hashing [<a href="http://ijcai.org/papers15/Papers/IJCAI15-197.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Jiaming Xu, PengWang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao. [IJCAI], 2015</li> 
 <li>Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval [<a href="http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhao_Deep_Semantic_Ranking_2015_CVPR_paper.pdf" rel="nofollow">paper</a>][<a href="https://github.com/zhaofang0627/cuda-convnet-for-hashing" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Fang Zhao, Yongzhen Huang, Liang Wang, and Tieniu Tan. [CVPR], 2015</li> 
 <li>Deep Hashing for Compact Binary Codes Learning [<a href="https://sites.google.com/site/elujiwen/CVPR15b.pdf?attredirects=0&amp;d=1" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, and Jie Zhou. [CVPR], 2015</li> 
 <li>Deep Learning of Binary Hash Codes for Fast Image Retrieval [<a href="http://www.iis.sinica.edu.tw/~kevinlin311.tw/cvprw15.pdf" rel="nofollow">paper</a>][<a href="https://github.com/kevinlin311tw/caffe-cvprw15" rel="nofollow">code</a>][<a href="http://www.iis.sinica.edu.tw/~kevinlin311.tw/deephash_questions.txt" rel="nofollow">questions</a>] &nbsp;&nbsp;&nbsp;&nbsp;Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, and Chu-Song Chen. [CVPRW], 2015</li> 
 <li>Feature Learning based Deep Supervised Hashing with Pairwise Labels [<a href="http://cs.nju.edu.cn/lwj/paper/IJCAI16_DPSH.pdf" rel="nofollow">paper</a>][<a href="http://cs.nju.edu.cn/lwj/code/DPSH.rar" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Wu-Jun Li, Sheng Wang and Wang-Cheng Kang. [IJCAI], 2016</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td>&nbsp;</td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>Online Hashing</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td> 
 <ul> 
 <li>Online Hashing [<a href="http://ijcai.org/papers13/Papers/IJCAI13-213.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Long-kai Huang, Qiang Yang and Wei-Shi Zheng. [IJCAI], 2013</li> 
 <li>Online Sketching Hashing [<a href="http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Leng_Online_Sketching_Hashing_2015_CVPR_paper.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp;Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai and Hangqing Lu. [CVPR], 2015</li> 
 <li>Adaptive Hashing for Fast Similarity Search [<a href="http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Cakir_Adaptive_Hashing_for_ICCV_2015_paper.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp; Fatih Cakir, Stan Sclaroff. [ICCV], 2015</li> 
 <li>Online Supervised Hashing [<a href="http://cs-people.bu.edu/fcakir/osh/OnlineSupervisedHashig_ICIP_2015.pdf" rel="nofollow">paper</a>] &nbsp;&nbsp;&nbsp;&nbsp; Fatih Cakir, Stan Sclaroff. [ICIP], 2015&nbsp;</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td>&nbsp;</td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>Quantization</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td> 
 <ul> 
 <li>Double-Bit Quantization for Hashing [<a href="http://cs.nju.edu.cn/lwj/paper/AAAI12_DBQ.pdf" rel="nofollow">paper</a>] [<a href="http://cs.nju.edu.cn/lwj/code/DBQ.rar" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Weihao Kong, Wu-Jun Li. [AAAI], 2012</li> 
 <li>Manhattan hashing for large-scale image retrieval [<a href="http://cs.nju.edu.cn/lwj/paper/SIGIR12_MH.pdf" rel="nofollow">paper</a>] [<a href="http://cs.nju.edu.cn/lwj/code/MH.rar" rel="nofollow">code</a>] &nbsp;&nbsp;&nbsp;&nbsp;Weihao Kong, Wu-Jun Li,Minyi Guo. [SIGIR], 2012</li> 
 <li>Variable Bit Quantisation for LSH [<a href="http://homepages.inf.ed.ac.uk/miles/papers/acl13.pdf" rel="nofollow">paper</a>]&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;Sean Moran, Victor Lavrenko,Miles Osborne. [ACL], 2013</li> 
 <li>Hash Bit Selection: a Unified Solution for Selection Problems in Hashing. [<a href="http://www.nlsde.buaa.edu.cn/~xlliu/cvpr2013.pdf" rel="nofollow">paper</a>][<a href="http://www.nlsde.buaa.edu.cn/~xlliu/cvpr2013_supp.pdf" rel="nofollow">supplementary</a>][<a href="http://www.nlsde.buaa.edu.cn/~xlliu/cvpr2013_slides.pdf" rel="nofollow">slide (in Chinese)</a>][<a href="http://www.nlsde.buaa.edu.cn/~xlliu/bitselect.zip" rel="nofollow">code</a>][<a href="http://www.nlsde.buaa.edu.cn/~xlliu/MNIST_gnd_release.mat" rel="nofollow">data</a>] &nbsp;&nbsp;&nbsp;&nbsp;Xianglong Liu, Junfeng He, Bo Lang and Shih-Fu Chang . [CVPR], 2013</li> 
 <li>Hamming Compatible Quantization for Hashing [<a href="http://ijcai.org/papers15/Papers/IJCAI15-325.pdf" rel="nofollow">paper</a>]&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang and Wen Gao [IJCAI], 2015</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td>&nbsp;</td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>Distributed Hashing</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td> 
 <ul> 
 <li>Hashing for Distributed Data&nbsp;<a href="http://jmlr.org/proceedings/papers/v37/leng15.pdf" rel="nofollow">[paper]</a> &nbsp;&nbsp;&nbsp;&nbsp;Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang and Hanqing Lu. [ICML], 2015</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td>&nbsp;</td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a>Dataset 
 <hr></td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>CIFAR [&nbsp;<a href="https://www.cs.toronto.edu/~kriz/cifar.html" rel="nofollow">link</a>&nbsp;]</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>IAPRTC-12&nbsp;&nbsp;[<a href="http://imageclef.org/SIAPRdata" rel="nofollow">&nbsp;link</a>&nbsp;]</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>ImageNet&nbsp;[<a href="http://www.image-net.org/" rel="nofollow">&nbsp;link&nbsp;</a>]</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>LabelMe [<a href="http://labelme.csail.mit.edu/Release3.0/browserTools/php/dataset.php" rel="nofollow">&nbsp;link&nbsp;</a>]</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>MIR-FLICKR [<a href="http://press.liacs.nl/mirflickr/mirdownload.html" rel="nofollow">&nbsp;link&nbsp;</a>]</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>MNIST &nbsp;[&nbsp;<a href="http://yann.lecun.com/exdb/mnist/" rel="nofollow">link&nbsp;</a>]</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>NUS-WIDE &nbsp;[<a href="http://lms.comp.nus.edu.sg/research/NUS-WIDE.htm" rel="nofollow">&nbsp;link&nbsp;</a>]</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>SUN-397 [<a href="http://groups.csail.mit.edu/vision/SUN/" rel="nofollow">&nbsp;link&nbsp;</a>]</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>Tiny-Image [<a href="http://groups.csail.mit.edu/vision/TinyImages/" rel="nofollow">&nbsp;link&nbsp;</a>]</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td><a rel="nofollow"></a> 
 <ul> 
 <li>Wiki [<a href="http://www.svcl.ucsd.edu/projects/crossmodal/" rel="nofollow">&nbsp;link&nbsp;</a>]</li> 
 </ul></td> 
 </tr> 
 <tr> 
 <td><a href="http://cs.nju.edu.cn/lwj/L2H.html#top" rel="nofollow">To the top&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</a></td> 
 </tr> 
 <tr> 
 <td>&nbsp;</td> 
 </tr> 
 </tbody> 
</table>

[https_blog.csdn.net_liuheng0111_article_details_53116108]: https://blog.csdn.net/liuheng0111/article/details/53116108