哈希检索方面的论文、代码和数据集Learning to Hash Paper, Code and Dataset
2016-05-08 14:15
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| 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 [ [b]link ][/b] |
| IAPRTC-12 [b] [ link ][/b] |
| ImageNet[b] [ link ][/b] |
| LabelMe [ link ] |
| MIR-FLICKR [ link ] |
| MNIST [ link ] |
| NUS-WIDE [ link ] |
| SUN-397 [ link ] |
| Tiny-Image [ link ] |
| Wiki [ link ] |
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