哈希检索方面的论文、代码和数据集Learning to Hash Paper, Code and Dataset

Learning to Hash Paper, Code and Dataset

Table of Content

Introduction

Tutorial Slides

Data-Independent Method

Learning to Hash Method (Data-Dependent Method)

Unsupervised Hashing

Supervised Hashing

Ranking-Based Hashing

Multi-Modal Hashing

Deep Hashing

Online Hashing

Quantization for Hashing

Distributed Hashing

Dataset

Introduction

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 Dr. Wu-Jun LI.

Tutorial Slides

The tutorial slides about Learning to Hash, provided by Dr. Wu-Jun LI, can be downloaded fromhttp://cs.nju.edu.cn/lwj/slides/L2H.pdf

Data Independent Method

Similarity Search in High Dimensions via Hashing [paper]     Aristides Gionis, Piotr Indyk and Rajeev Motwani. [VLDB], 1999. Locality-Sensitive Hashing Scheme Based on p-Stable Distributions [paper]     Mayur Datar, Nicole Immorlica, Piotr Indyk, Vahab S. Mirrokni. [SCG], 2004. Near-Optimal Hashing Algorithms for Approximate Nnearest Neighbor in High Dimensions. [paper]     Alexandr Andoni and Piotr Indyk. [Communications of the ACM ], 2008. Kernelized Locality-Sensitive Hashing for Scalable Image Search [paper]     Brian Kulis and Kristen Grauman. [ICCV], 2009.  Fast Similarity Search for Learned Metrics [paper]     Prateek Jain, Brian Kulis and Kristen Grauman. [TPAMI], 2009. Locality-Sensitive Binary Codes from Shift-Invariant Kernels [paper]     Maxim Raginsky and Svetlana Lazebnik. [NIPS], 2009.  Hashing Algorithms for Large Scale Learning [paper]      Ping Li, Anshumali Shrivastava, Joshua Moore and Christian Konig. [NIPS], 2011.  Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search. [paper]     Anshumali Shrivastava and Ping Li. [ICML], 2014 Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS). [paper]     Anshumali Shrivastava and Ping Li. [NIPS], 2014. 0-Bit Consistent Weighted Sampling. [paper]     Ping Li. [KDD], 2015 Practical and Optimal LSH for Angular Distance. [paper]     Alexandr Andoni, Piotr Indyk and Thijs Laarhoven. [NIPS], 2015

Learning to Hash Method (Data Dependent Method)

Unsupervised Hashing

Spectral Hashing [paper][code]     Yair Weiss, Antonio Torralba and Rob Fergus. [NIPS], 2008 Hashing with Graphs [paper][code]     Wei Liu, Jun Wang, Sanjiv Kumar and Shih-Fu Chang. [ICML], 2010 Iterative Quantization: A Procerustean Approach to Learning Binary Codes [paper][code]     Yunchao Gong and Svetlana Lazebnik. [CVPR], 2011 Isotropic Hashing [paper][code]      Weihao Kong and Wu-Jun Li. [NIPS], 2012 Spherical Hashing [paper][C++ code][matlab code][slide]     Jae-Pil Heo, Youngwoon Lee, Junfeng He, Shih-Fu Chang and Sung-Eui Yoon. [CVPR], 2012 Harmonious Hashing [paper]     Bin Xu, Jiajun Bu, Yue Lin Chun Chen, Xiaofei He and Deng Cai. [IJCAI], 2013 Complementary Projection Hashing [paper]     Zhongming Jin, Yao Hu, Yue Lin, Debing Zhang, Shiding Lin, Deng Cai and Xuelong Li. [ICCV], 2013 Inductive Hashing on Manifolds [paper][supplementary][code][poster]     Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel and Zhenmin Tang. [CVPR], 2013 Learning Binary Codes for High-Dimensional Data Using Bilinear Projections [paper][code]     Yunchao Gong, Sanjiv Kumar, Henry A. Rowley and Svetlana Lazebnik. [CVPR], 2013 Discrete Graph Hashing [paper]     Wei Liu, Cun Mu, Sanjiv Kumar and Shih-Fu Chang. [NIPS], 2014 Circulant Binary Embedding [paper][code][slide]     Felix Xu, Sanjiv Kumar, Yunchao Gong and Shih-Fu Chang. [ICML], 2014 Locality Linear Hashing for Extracting Non-Linear Manifolds. [paper][supplementary]     Go Irie, Zhenguo Li and Xiao-Ming Wu and Shih-Fu Chang. [CVPR], 2014 Large-Scale Unsupervised Hashing with Shared Structure Learning [paper]     Xianglong Liu, Yadong Mu, Danchen Zhang, Bo Lang, Xuelong Li. [IEEE Transactions on Cybernetics], 2015 Learning Binary Codes for Maximum Inner Product Search. [paper]     Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, Heng Tao Shen. [ICCV], 2015 An NMF perspective on Binary Hashing. [paper] Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes and Vikas Singh. [ICCV], 2015 Scalable Graph Hashing with Feature Transformation. [paper][code]     Qing-Yuan Jiang and Wu-Jun Li. [IJCAI], 2015

Supervised Hashing

Semi-Supervised Hashing for Scalable Image Retrieval [paper]     Jun Wang, Sanjiv Kumar, and Shih-Fu Chang. [CVPR], 2010 Minimal Loss Hashing for Compact Binary Codes [paper] [code]     Mohammad Norouzi and David M. Blei. [ICML], 2011 Supervised Hashing with Kernels [paper][code]     Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, and Shih-Fu Chang.[CVPR], 2012 LDAHash: Improved Matching with Smaller Descriptors [paper] [code]     Christoph Strecha, Alexander M. Bronstein, Michael M. Bronstein, and Pascal Fua. [TPAMI], 2012 A General Two-Step Approach to Learning-based Hashing [paper] [code]     Guosheng Lin, Chunhua Shen, David Suter, and Anton van den Hengel. [ICCV], 2013 Supervised binary hash code learning with jensen shannon divergence [paper]     Lixin Fan. [ICCV], 2013 The power of asymmetry in binary hashing [paper] [code]     Behnam Neyshabur, Nati Srebro, Ruslan R. Salakhutdinov, Yury Makarychev, Payman Yadollahpour. [NIPS], 2013 Graph cuts for supervised binary coding [paper]     Tiezheng Ge, Kaiming He, and Jian Sun. [ECCV], 2014 Fast supervised hashing with decision trees for high-dimensional data [paper] [code]     Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter. [CVPR], 2014 Supervised hashing with latent factor models [paper] [code]     Peichao Zhang, Wei Zhang, Wu-Jun Li, and Minyi Guo. [SIGIR], 2014 Supervised Discrete Hashing [paper] [code]     Fumin Shen, Chunhua Shen, Wei Liu, and Heng Tao Shen. [CVPR], 2015 kNN Hashing with Factorized Neighborhood Representation. [paper]     Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan. [ICCV], 2015 Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction [paper]     Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen. [ICCV], 2015 Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing. [paper]     Cheng Deng, Xianglong Liu, Yadong Mu, Jie Li. [Signal Processing], 2015 Column sampling based discrete supervised hashing. [paper] [code]     Wang-Cheng Kang, Wu-Jun Li and Zhi-Hua Zhou. [AAAI], 2016

Ranking-Based Hashing

Hamming Distance Metric Learning [paper] [code]     Mohammad Norouzi, David J. Fleet, Ruslan Salakhutdinov. [NIPS], 2012 Learning Hash Functions Using Column Generation [paper][code]     Xi Li, Guosheng Lin,Chunhua Shen,Anton van den Hengel,Anthony Dick. [ICML], 2013 Order preserving Hashing for Approximate Nearest Neighbor Search [paper]     Jianfeng Wang, Jingdong Wang, and Nenghai Yu,Shipeng Li. [ACM MM], 2013 Learning Hash Codes with Listwise Supervision [paper]     Jun Wang, Wei Liu,Andy X. Sun,Yu-Gang Jiang. [ICCV], 2013 Optimizing Ranking Measures for Compact Binary Code Learning [paper]     Guosheng Lin, Chunhua Shen, Jianxin Wu. [ECCV], 2014 Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search [paper][code]     Tianxu Ji, Xianglong Liu, Cheng Deng, Lei Huang, Bo Lang. [ACM MM], 2014 Ranking Preserving Hashing for Fast Similarity Search [paper]     Qifan Wang, Zhiwei Zhang,Luo Si. [IJCAI], 2015 Top Rank Supervised Binary Coding for Visual Search [paper]     Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith. [ICCV], 2015

Multi-Modal Hashing

Composite Hashing with Multiple Information Sources [paper]     Dan Zhang, Fei Wang, Luo Si. [ACM SIGIR], 2011 Learning hash functions for cross-view similarity search [paper]     Shaishav Kumar and Raghavendra Udupa. [IJCAI], 2011 Co-Regularized Hashing for Multimodal Data [paper]     Yi Zhen and Dit-Yan Yeung. [NIPS], 2012 Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources [paper]     Jingkuan Song, Yang Yang, Yi Yang, Zi Huang and Heng Tao Shen. [SIGMOD], 2013 Comparing apples to oranges: a scalable solution with heterogeneous hashing [paper]      Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang. [KDD], 2013 Large-scale supervised multimodal hashing with semantic correlation maximization [paper][code]     Dongqing Zhang and Wu-Jun Li. [AAAI], 2014 Collective Matrix Factorization Hashing for Multimodal data [paper]     Guiguang Ding, Yuchen Guo and Jile Zhou.[CVPR], 2014 Collaborative Hashing [paper][code]     Xianglong Liu, Junfeng He, Cheng Deng, Bo Lang. [CVPR], 2014 Quantized correlation hashing for fast cross-modal search [paper]     Botong Wu, Qiang Yang, Wei-Shi Zheng, Yizhou Wang and Jingdong Wang.[IJCAI], 2015 Semantic Topic Multimodal Hashing for Cross-Media Retrieval [paper]     Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He. [IJCAI], 2015 Semantics-Preserving Hashing for Cross-View Retrieval [paper]     Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang. [CVPR], 2015 Multi-View Complementary Hash Tables for Nearest Neighbor Search [paper]     Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land. [ICCV], 2015 Alternating Co-Quantization for Cross-modal Hashing [paper]     Go Irie, Hiroyuki Arai and Yukinobu Taniguchi. [ICCV], 2015 Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision. [paper]     Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin. [AAAI], 2015

Deep Hashing

Supervised Hashing via Image Representation Learning [paper][code][slide]     Rongkai Xia , Yan Pan, Hanjiang Lai, Cong Liu, and Shuicheng Yan. [AAAI], 2014 Simultaneous Feature Learning and Hash Coding with Deep Neural Networks [paper]     Hanjiang Lai, Yan Pan, Ye Liu, and Shuicheng Yan. [CVPR], 2015 Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification [paper][code]     Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, and Lei Zhang. [TIP], 2015 Convolutional Neural Networks for Text Hashing [paper]     Jiaming Xu, PengWang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao. [IJCAI], 2015 Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval [paper][code]     Fang Zhao, Yongzhen Huang, Liang Wang, and Tieniu Tan. [CVPR], 2015 Deep Hashing for Compact Binary Codes Learning [paper]     Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, and Jie Zhou. [CVPR], 2015 Deep Learning of Binary Hash Codes for Fast Image Retrieval [paper][code][questions]     Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, and Chu-Song Chen. [CVPRW], 2015 Feature Learning based Deep Supervised Hashing with Pairwise Labels [paper][code]     Wu-Jun Li, Sheng Wang and Wang-Cheng Kang. [IJCAI], 2016

Online Hashing

Online Hashing [paper]     Long-kai Huang, Qiang Yang and Wei-Shi Zheng. [IJCAI], 2013 Online Sketching Hashing [paper]     Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai and Hangqing Lu. [CVPR], 2015 Adaptive Hashing for Fast Similarity Search [paper]      Fatih Cakir, Stan Sclaroff. [ICCV], 2015 Online Supervised Hashing [paper]      Fatih Cakir, Stan Sclaroff. [ICIP], 2015

Quantization

Double-Bit Quantization for Hashing [paper] [code]     Weihao Kong, Wu-Jun Li. [AAAI], 2012 Manhattan hashing for large-scale image retrieval [paper] [code]     Weihao Kong, Wu-Jun Li,Minyi Guo. [SIGIR], 2012 Variable Bit Quantisation for LSH [paper]      Sean Moran, Victor Lavrenko,Miles Osborne. [ACL], 2013 Hash Bit Selection: a Unified Solution for Selection Problems in Hashing. [paper][supplementary][slide (in Chinese)][code][data]     Xianglong Liu, Junfeng He, Bo Lang and Shih-Fu Chang . [CVPR], 2013 Hamming Compatible Quantization for Hashing [paper]      Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang and Wen Gao [IJCAI], 2015

Distributed Hashing

Hashing for Distributed Data [paper]     Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang and Hanqing Lu. [ICML], 2015

Dataset

CIFAR [ link ]

IAPRTC-12  [ link ]

ImageNet [ link ]

LabelMe [ link ]

MIR-FLICKR [ link ]

MNIST  [ link ]

NUS-WIDE  [ link ]

SUN-397 [ link ]

Tiny-Image [ link ]

Wiki [ link ]

from: http://cs.nju.edu.cn/lwj/L2H.html