- Similarity Search in High Dimensions via Hashing [paper]
- Aristides Gionis, Piotr Indyk and Rajeev Motwani. [VLDB], 1999.
- Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. [paper]
- Alexandr Andoni and Piotr Indyk. [ACM] 2008.
- Locality-Sensitive Hashing Scheme Based on p-Stable Distributions [paper]
- Datar et al. [ACM], 2004.
- 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.
- Spectral Hashing (SH) [paper][code]
- Yair Weiss, Antonio Torralba and Rob Fergus. [NIPS], 2008
- Hashing with Graphs (AGH) [paper][code]
- Wei Liu, Jun Wang, Sanjiv Kumar and Shih-Fu Chang. [ICML], 2010
- Iterative quantization: A procerustean approach to learning binary codes (ITQ) [paper][code]
- Yunchao Gong and Svetlana Lazebnik. . [CVPR], 2011
- Isotropic Hashing (IsoHash) [paper][code]
- Weihao Kong and Wu-Jun Li. [NIPS], 2012
- Spherical Hashing (SPH) [paper][C code][matlab code][slide]
- Jae-Pil Heo, Youngwoon Lee, Junfeng He, Shih-Fu Chang and Sung-Eui Yoon. [CVPR], 2012
- Harmonious Hashing (HamH) [paper]
- Bin Xu, Jiajun Bu, Yue Lin Chun Chen, Xiaofei He and Deng Cai. [IJCAI], 2013
- Complementary Projection Hashing (CPH) [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 (BPBC) [paper][code]
- Yunchao Gong, Sanjiv Kumar, Henry A. Rowley and Svetlana Lazebnik. [CVPR], 2013
- Discrete Graph Hashing (DGH) [paper]
- Wei Liu, Cun Mu, Sanjiv Kumar and Shih-Fu Chang. [NIPS], 2014
- Circulant Binary Embedding (CBE) [paper][code][slide]
- Felix Xu, Sanjiv Kumar, Yunchao Gong and Shih-Fu Chang. [ICML], 2014
- Locality Linear Hashing for Extracting Non-Linear Manifolds (LLH) [paper][supplementary]
- Go Irie, Zhenguo Li and Xiao-Ming Wu and Shih-Fu Chang. [CVPR], 2014
- Scalable Graph Hashing with Feature Transformation (SGH) [paper)][code]
- Qing-Yuan Jiang and Wu-Jun Li. [IJCAI], 2015
- Semi-supervised hashing for scalable image retrieval (SSH)[paper]
- Jun Wang, Sanjiv Kumar, and Shih-Fu Chang. [CVPR], 2010
- Minimal loss hashing for compact binary codes (MLH) [paper] [code]
- Mohammad Norouzi and David M. Blei. [ICML], 2011
- Supervised hashing with kernels (KSH) [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 (TSH) [paper] [code]�
- Guosheng Lin, Chunhua Shen, David Suter, and Anton van den Hengel. [ICCV], 2013
- Supervised binary hash code learning with jensen shannon divergence (JSD) [paper]
- Lixin Fan. [ICCV], 2013
- The power of asymmetry in binary hashing (ASH) [paper] [code]
- Behnam Neyshabur, Nati Srebro, Ruslan R. Salakhutdinov, Yury Makarychev, and Payman Yadollahpour. [NIPS], 2012
- Graph cuts for supervised binary coding (GCC) [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 (LFH) [paper] [code]
- Peichao Zhang, Wei Zhang, Wu-Jun Li, and Minyi Guo. [SIGIR], 2014
- Supervised Discrete Hashing (SDH) [paper] [code]
- Fumin Shen, Chunhua Shen, Wei Liu, and Heng Tao Shen. Supervised Discrete Hashing. [CVPR], 2015
- COSDISH
- Wang-Cheng Kang, Wu-Jun Li and Zhi-Hua Zhou. Column sampling based discrete supervised hashing. [AAAI], 2016
- Hamming Distance Metric Learning (HDML) [paper] [code]
- Mohammad Norouzi, David J. Fleet, Ruslan Salakhutdinov. [NIPS], 2012
- Learning Hash Functions Using Column Generation (CGH) [paper][code]
- Xi Li, Guosheng Lin,Chunhua Shen,Anton van den Hengel,Anthony Dick. [ICML], 2013
- Order preserving Hashing for Approximate Nearest Neighbor Search (OPH) [paper]
- Jianfeng Wang, Jingdong Wang, and Nenghai Yu,Shipeng Li. [ACM MM], 2013
- Learning Hash Codes with Listwise Supervision (RSH) [paper]
- Jun Wang, Wei Liu,Andy X. Sun,Yu-Gang Jiang. [ICCV], 2013
- Optimizing Ranking Measures for Compact Binary Code Learning (StructHash) [paper]
- Guosheng Lin, Chunhua Shen, Jianxin Wu. [ECCV], 2014
- Ranking Preserving Hashing for Fast Similarity Search (RPH) [paper]
- Qifan Wang, Zhiwei Zhang,Luo Si. [IJCAI], 2015
- Composite Hashing with Multiple Information Sources (CHMIS-AW) [paper]
- Dan Zhang, Fei Wang, Luo Si. [ACM SIGIR], 2011
- Learning hash functions for cross-view similarity search (CVH) [paper]
- Shaishav Kumar and Raghavendra Udupa. [IJCAI], 2011
- Co-Regularized Hashing for Multimodal Data (CRH) [paper]
- Yi Zhen and Dit-Yan Yeung. [NIPS], 2012
- Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources (IMH) [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 (RaHH) [paper]
- Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang. [KDD], 2013
- Large-scale supervised multimodal hashing with semantic correlation maximization (SCM) [paper][code]
- Dongqing Zhang and Wu-Jun Li. [AAAI], 2014
- Collective Matrix Factorization Hashing for Multimodal data (CMFH) [paper]
- Guiguang Ding, Yuchen Guo and Jile Zhou.[CVPR], 2014
- Quantized correlation hashing for fast cross-modal search (QCH) [paper]
- Botong Wu, Qiang Yang, Wei-Shi Zheng, Yizhou Wang and Jingdong Wang.[IJCAI], 2015
- Semantic Topic Multimodal Hashing for Cross-Media Retrieval (STMH) [paper]
- Wang et al.[IJCAI], 2015
- Semantics-Preserving Hashing for Cross-View Retrieval (SePH) [paper]
- Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang. [CVPR], 2015
- Supervised Hashing via Image Representation Learning(CNNH) [paper][code][slide]
- Rongkai Xia , Yan Pan, Hanjiang Lai, Cong Liu, and Shuicheng Yan. [AAAI], 2014
- Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification(DRSCH) [paper][code]
- Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, and Lei Zhang. [TIP], 2015
- Convolutional Neural Networks for Text Hashing(THC) [paper]
- Jiaming Xu, PengWang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao. [IJCAI], 2015
- Simultaneous Feature Learning and Hash Coding with Deep Neural Networks(NINH) [paper]
- Hanjiang Lai, Yan Pan, Ye Liu, and Shuicheng Yan. [CVPR], 2015
- Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval(DSRH) [paper][code]
- Fang Zhao, Yongzhen Huang, Liang Wang, and Tieniu Tan. [CVPR], 2015
- Deep Hashing for Compact Binary Codes Learning(DH) [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(HDS) [paper][code][questions]
- Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, and Chu-Song Chen. [CVPRW], 2015
- Online Hashing (OKH) [paper]
- Long-kai Huang, Qiang Yang and Wei-Shi Zheng. [IJCAI], 2013
- Online Sketching Hashing (OSH) [paper]
- Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai and Hangqing Lu. [CVPR], 2015
- Double-Bit Quantization for Hashing (DBQ) [paper] [code]
- Weihao Kong, Wu-Jun Li. [AAAI], 2012
- Manhattan hashing for large-scale image retrieval (MQ) [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
- Hamming Compatible Quantization for Hashing [paper]
- Wang et al. Hamming Compatible Quantization for Hashing [IJCAI], 2015
- [dataset]
- [dataset]
- [dataset]
- [dataset]
- [dataset]
- [dataset]
- [dataset]
- [dataset]
- [dataset]
- [dataset]