19.4.2.1.3 Hashing for Large Scale Systems, Web-Scale System

Li, Y.N.[Yue Nan], Luo, H.[Hao],
Approximate Nearest Neighbor Based Feature Quantization Algorithm for Robust Hashing,
IEICE(E95-D), No. 12, December 2012, pp. 3109-3112.
WWW Link. 1212
BibRef

Li, Y.N.[Yue Nan],
Robust Content Fingerprinting Algorithm Based on Sparse Coding,
SPLetters(22), No. 9, September 2015, pp. 1254-1258.
IEEE DOI 1503
image coding BibRef

Cheng, J.[Jian], Leng, C.[Cong], Li, P.[Peng], Wang, M.[Meng], Lu, H.Q.[Han-Qing],
Semi-supervised multi-graph hashing for scalable similarity search,
CVIU(124), No. 1, 2014, pp. 12-21.
Elsevier DOI 1406
Hashing BibRef

Yu, J.[Jun], Hong, R.[Richang], Wang, M.[Meng], You, J.[Jane],
Image clustering based on sparse patch alignment framework,
PR(47), No. 11, 2014, pp. 3512-3519.
Elsevier DOI 1407
Image clustering BibRef

Xin, X.[Xin], Nagar, A.[Abhishek], Srivastava, G.[Gaurav], Li, Z.[Zhu], Fernandes, F.[Felix], Katsaggelos, A.K.[Aggelos K.],
Large Visual Repository Search with Hash Collision Design Optimization,
MultMedMag(20), No. 2, 2013, pp. 62-71.
IEEE DOI 1307
Augmented reality; hash-code collision; indexing; mobile search BibRef

Liu, X.L.[Xiang-Long], He, J.F.[Jun-Feng], Lang, B.[Bo],
Multiple feature kernel hashing for large-scale visual search,
PR(47), No. 2, 2014, pp. 748-757.
Elsevier DOI 1311
Locality-sensitive hashing BibRef

Zhou, W.G.[Wen-Gang], Yang, M.[Ming], Li, H.Q.[Hou-Qiang], Wang, X.Y.[Xiao-Yu], Lin, Y.Q.[Yuan-Qing], Tian, Q.[Qi],
Towards Codebook-Free: Scalable Cascaded Hashing for Mobile Image Search,
MultMed(16), No. 3, April 2014, pp. 601-611.
IEEE DOI 1405
feature extraction BibRef

Zhou, W.G.[Wen-Gang], Yang, M.[Ming], Wang, X.Y.[Xiao-Yu], Li, H.Q.[Hou-Qiang], Lin, Y.Q.[Yuan-Qing], Tian, Q.[Qi],
Scalable Feature Matching by Dual Cascaded Scalar Quantization for Image Retrieval,
PAMI(38), No. 1, January 2016, pp. 159-171.
IEEE DOI 1601
Feature extraction BibRef

Liu, Z.[Zhen], Li, H.Q.[Hou-Qiang], Zhou, W.G.[Wen-Gang], Zhao, R.Z.[Rui-Zhen], Tian, Q.[Qi],
Contextual Hashing for Large-Scale Image Search,
IP(23), No. 4, April 2014, pp. 1606-1614.
IEEE DOI 1404
Internet BibRef

Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang], Hong, R., Lu, Y., Tian, Q.[Qi],
BSIFT: Toward Data-Independent Codebook for Large Scale Image Search,
IP(24), No. 3, March 2015, pp. 967-979.
IEEE DOI 1502
Feature extraction BibRef

Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang], Sun, J.[Jian], Tian, Q.[Qi],
Collaborative Index Embedding for Image Retrieval,
PAMI(40), No. 5, May 2018, pp. 1154-1166.
IEEE DOI 1804
Feature extraction, Image retrieval, Indexing, Neural networks, Visualization, CNN feature, Image retrieval, SIFT, index embedding, inverted index BibRef

Liu, Z.[Zhen], Li, H.Q.[Hou-Qiang], Zhang, L.Y.[Li-Yan], Zhou, W.G.[Wen-Gang], Tian, Q.[Qi],
Cross-Indexing of Binary SIFT Codes for Large-Scale Image Search,
IP(23), No. 5, May 2014, pp. 2047-2057.
IEEE DOI 1405
binary codes BibRef

Xie, L.X.[Ling-Xi], Tian, Q.[Qi], Zhou, W.G.[Wen-Gang], Zhang, B.[Bo],
Heterogeneous Graph Propagation for Large-Scale Web Image Search,
IP(24), No. 11, November 2015, pp. 4287-4298.
IEEE DOI 1509
image retrieval
See also Fast and accurate near-duplicate image search with affinity propagation on the ImageWeb.
See also Spatial Pooling of Heterogeneous Features for Image Classification. BibRef

Wang, M.[Min], Zhou, W.G.[Wen-Gang], Tian, Q.[Qi], Li, H.Q.[Hou-Qiang],
A General Framework for Linear Distance Preserving Hashing,
IP(27), No. 2, February 2018, pp. 907-922.
IEEE DOI 1712
Binary codes, Euclidean distance, Hamming distance, Neural networks, Quantization (signal), Semantics, Training data, pseudo-supervised hashing BibRef

Luo, Q.J.[Qing-Jun], Zhang, S.L.[Shi-Liang], Huang, T.J.[Tie-Jun], Gao, W.[Wen], Tian, Q.[Qi],
Hybrid-Indexing Multi-type Features for Large-Scale Image Search,
ACCV14(I: 446-460).
Springer DOI 1504
BibRef

Liu, Z.[Zhen], Li, H.Q.[Hou-Qiang], Zhou, W.G.[Wen-Gang], Hong, R., Tian, Q.[Qi],
Uniting Keypoints: Local Visual Information Fusion for Large-Scale Image Search,
MultMed(17), No. 4, April 2015, pp. 538-548.
IEEE DOI 1503
Feature extraction BibRef

Tang, J.H.[Jin-Hui], Li, Z.C.[Ze-Chao], Wang, M., Zhao, R.,
Neighborhood Discriminant Hashing for Large-Scale Image Retrieval,
IP(24), No. 9, September 2015, pp. 2827-2840.
IEEE DOI 1506
Binary codes BibRef

Li, Z.C.[Ze-Chao], Tang, J.H.[Jin-Hui],
Weakly Supervised Deep Metric Learning for Community-Contributed Image Retrieval,
MultMed(17), No. 11, November 2015, pp. 1989-1999.
IEEE DOI 1511
Data structures BibRef

Lv, Y., Ng, W.W.Y., Zeng, Z., Yeung, D.S., Chan, P.P.K.,
Asymmetric Cyclical Hashing for Large Scale Image Retrieval,
MultMed(17), No. 8, August 2015, pp. 1225-1235.
IEEE DOI 1506
Euclidean distance BibRef

Gallas, A., Barhoumi, W., Kacem, N., Zagrouba, E.,
Locality-sensitive hashing for region-based large-scale image indexing,
IET-IPR(9), No. 9, 2015, pp. 804-810.
DOI Link 1509
file organisation BibRef

Guo, Y.C.[Yu-Chen], Ding, G.G.[Gui-Guang], Liu, L.[Li], Han, J.G.[Jun-Gong], Shao, L.[Ling],
Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval,
IP(26), No. 3, March 2017, pp. 1344-1354.
IEEE DOI 1703
image representation BibRef

Guo, Y.C.[Yu-Chen], Ding, G.G.[Gui-Guang], Han, J., Gao, Y.,
Zero-Shot Learning With Transferred Samples,
IP(26), No. 7, July 2017, pp. 3277-3290.
IEEE DOI 1706
Labeling, Robustness, Standards, Supervised learning, Support vector machines, Target recognition, Training, Zero-shot learning, experiment, inductive learning, robust support vector machine (SVM), transductive learning, transfer learning. BibRef

Liu, L.[Li], Lin, Z.J.[Zi-Jia], Shao, L.[Ling], Shen, F.M.[Fu-Min], Ding, G.G.[Gui-Guang], Han, J.G.[Jun-Gong],
Sequential Discrete Hashing for Scalable Cross-Modality Similarity Retrieval,
IP(26), No. 1, January 2017, pp. 107-118.
IEEE DOI 1612
Internet BibRef

Liu, L.[Li], Yu, M.Y.[Meng-Yang], Shao, L.[Ling],
Multiview Alignment Hashing for Efficient Image Search,
IP(24), No. 3, March 2015, pp. 956-966.
IEEE DOI 1502
Binary codes
See also Structure-Preserving Binary Representations for RGB-D Action Recognition. BibRef

Liu, L.[Li], Yu, M.Y.[Meng-Yang], Shao, L.[Ling],
Unsupervised Local Feature Hashing for Image Similarity Search,
Cyber(46), No. 11, November 2016, pp. 2548-2558.
IEEE DOI 1609
feature extraction
See also Structure-Preserving Binary Representations for RGB-D Action Recognition. BibRef

Liu, L.[Li], Shao, L.[Ling], Shen, F., Yu, M.Y.[Meng-Yang],
Discretely Coding Semantic Rank Orders for Supervised Image Hashing,
CVPR17(5140-5149)
IEEE DOI 1711
Binary codes, Correlation, Encoding, Optimization, Semantics, Training, data BibRef

Cai, Z.Y.[Zi-Yun], Liu, L.[Li], Yu, M.Y.[Meng-Yang], Shao, L.[Ling],
Latent Structure Preserving Hashing,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Liu, L.[Li], Yu, M.Y.[Meng-Yang], Shao, L.[Ling],
Latent Structure Preserving Hashing,
IJCV(122), No. 3, May 2017, pp. 439-457.
Springer DOI 1704
BibRef

Chen, Z.X.[Zhi-Xiang], Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Nonlinear Discrete Hashing,
MultMed(19), No. 1, January 2017, pp. 123-135.
IEEE DOI 1612
Binary codes Multilayer search. BibRef

Chen, Z.X.[Zhi-Xiang], Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Nonlinear Sparse Hashing,
MultMed(19), No. 9, September 2017, pp. 1996-2009.
IEEE DOI 1708
Binary codes, Encoding, Neural networks, Quantization (signal), Semantics, Sparse matrices, Training, Hashing, informative encoding, nonlinear transformation, sparse BibRef

Chen, Z.X.[Zhi-Xiang], Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Nonlinear Structural Hashing for Scalable Video Search,
CirSysVideo(28), No. 6, June 2018, pp. 1421-1433.
IEEE DOI 1806
Binary codes, Feature extraction, Multi-layer neural network, Nearest neighbor searches, structural information BibRef

Chen, Z.X.[Zhi-Xiang], Zhou, J.[Jie],
Collaborative multiview hashing,
PR(75), No. 1, 2018, pp. 149-160.
Elsevier DOI 1712
Multiview hashing BibRef

Yuan, X.[Xin], Chen, Z.X.[Zhi-Xiang], Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Reconstruction-based supervised hashing,
PR(79), 2018, pp. 147-161.
Elsevier DOI 1804
BibRef

Zhang, C., Zheng, W.S.,
Semi-Supervised Multi-View Discrete Hashing for Fast Image Search,
IP(26), No. 6, June 2017, pp. 2604-2617.
IEEE DOI 1705
cryptography, image coding, learning (artificial intelligence), Hamming space, compact coding, composite discrete hash learning modeling, fast image search, learning hashing codes, multi-view hash models, relaxation, semisupervised multiview discrete hashing, unsupervised multiview hash models, Binary codes, Data models, Labeling, Linear programming, Machine learning, Matrix decomposition, Semantics, Hash function learning, fast search, multi-view modeling, semi-supervised, methods BibRef

Liong, V.E.[Venice Erin], Lu, J.W.[Ji-Wen], Tan, Y.P.[Yap-Peng], Zhou, J.,
Deep Video Hashing,
MultMed(19), No. 6, June 2017, pp. 1209-1219.
IEEE DOI 1705
BibRef
And:
Cross-Modal Deep Variational Hashing,
ICCV17(4097-4105)
IEEE DOI 1802
Binary codes, Computer architecture, Convolutional codes, Feature extraction, Machine learning, Quantization (signal), Visualization, Deep learning, scalable video search, video hashing. approximation theory, binary codes, image processing, image retrieval, inference mechanisms, Training BibRef

Liong, V.E.[Venice Erin], Lu, J.W.[Ji-Wen], Tan, Y.P.[Yap-Peng],
Cross-Modal Discrete Hashing,
PR(79), 2018, pp. 114-129.
Elsevier DOI 1804
Multimedia retrieval, Hashing, Cross-modal, Discrete optimization BibRef

Lu, J.W.[Ji-Wen], Liong, V.E.[Venice Erin], Tan, Y.P.[Yap-Peng],
Adversarial Multi-Label Variational Hashing,
IP(30), 2021, pp. 332-344.
IEEE DOI 2012
Binary codes, Training, Semantics, Generators, Image retrieval, Hash functions, Visualization, Scalable image search, multi-label learning BibRef

Ma, D., Liang, J., He, R., Kong, X.,
Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data,
MultMedMag(24), No. 2, April 2017, pp. 56-65.
IEEE DOI 1705
Binary codes, Linear programming, Mathematical model, Multimedia communication, Optimization, Quantization (signal), Semantics, big data, cross-modal hashing, data analysis, discrete binary codes, graphics, multimedia, multimedia, retrieval BibRef

Li, K.[Kai], Qi, G.J.[Guo-Jun], Ye, J.[Jun], Hua, K.A.[Kien A.],
Linear Subspace Ranking Hashing for Cross-Modal Retrieval,
PAMI(39), No. 9, September 2017, pp. 1825-1838.
IEEE DOI 1708
Correlation, Hamming distance, Indexing, Multimedia communication, Probabilistic logic, Semantics, Sparse matrices, Cross-modal hashing, image and text retrieval, large-scale similarity search, max-order-statistics, rank correlation measures, ranking, subspace, learning BibRef

Shen, F., Yang, Y., Liu, L., Liu, W., Tao, D., Shen, H.T.,
Asymmetric Binary Coding for Image Search,
MultMed(19), No. 9, September 2017, pp. 2022-2032.
IEEE DOI 1708
Binary codes, Databases, Encoding, Kernel, Optimization, Hashing, binary codes, retrieval BibRef

Bai, X.[Xiao], Yan, C.[Cheng], Yang, H.C.[Hai-Chuan], Bai, L.[Lu], Zhou, J.[Jun], Hancock, E.R.[Edwin Robert],
Adaptive hash retrieval with kernel based similarity,
PR(75), No. 1, 2018, pp. 136-148.
Elsevier DOI 1712
Hashing BibRef

Liu, Y.[Yun], Yan, C.[Cheng], Bai, X.[Xiao], Zhou, J.[Jun],
Cross-Model Retrieval with Reconstruct Hashing,
SSSPR18(386-394).
Springer DOI 1810
BibRef

Liu, Y.Z.[Yan-Zhen], Bai, X.[Xiao], Yan, C.[Cheng], Wang, J.[Jing], Zhou, J.[Jun],
Hashing with Non-Linear Manifold Learning,
DICTA16(1-8)
IEEE DOI 1701
Binary codes BibRef

Zhu, L.[Lei], Shen, J.L.[Jia-Lie], Xie, L.[Liang], Cheng, Z.Y.[Zhi-Yong],
Unsupervised Topic Hypergraph Hashing for Efficient Mobile Image Retrieval,
Cyber(47), No. 11, November 2017, pp. 3941-3954.
IEEE DOI 1710
BibRef
Earlier: A3, A1, A4, Only:
Multi-Task Multi-modal Semantic Hashing for Web Image Retrieval with Limited Supervision,
MMMod17(I: 465-477).
Springer DOI 1701
Binary codes, Correlation, Image retrieval, Mobile communication, High-order semantic correlations BibRef

Dong, X.[Xiao], Liu, L.[Li], Zhu, L.[Lei], Cheng, Z.Y.[Zhi-Yong], Zhang, H.X.[Hua-Xiang],
Unsupervised Deep K-Means Hashing for Efficient Image Retrieval and Clustering,
CirSysVideo(31), No. 8, August 2021, pp. 3266-3277.
IEEE DOI 2108
Image retrieval, Semantics, Visualization, Binary codes, Hash functions, Quantization (signal), Correlation, deep learning BibRef

Matsui, Y.[Yusuke], Yamasaki, T.[Toshihiko], Aizawa, K.[Kiyoharu],
PQTable: Nonexhaustive Fast Search for Product-Quantized Codes Using Hash Tables,
MultMed(20), No. 7, July 2018, pp. 1809-1822.
IEEE DOI 1806
BibRef
Earlier:
PQTable: Fast Exact Asymmetric Distance Neighbor Search for Product Quantization Using Hash Tables,
ICCV15(1940-1948)
IEEE DOI 1602
Approximation algorithms, Encoding, Euclidean distance, Indexing, Quantization (signal), Runtime, Product quantization, hash table. Artificial neural networks BibRef

Su, L.L.[Liang Liang], Tang, J.[Jun], Liang, D.[Dong], Zhu, M.[Ming],
Multi-bit quantisation for similarity-preserving hashing,
IET-CV(12), No. 5, August 2018, pp. 616-622.
DOI Link 1807
BibRef

Yang, J., Sun, X., Lai, Y., Zheng, L., Cheng, M.,
Recognition From Web Data: A Progressive Filtering Approach,
IP(27), No. 11, November 2018, pp. 5303-5315.
IEEE DOI 1809
convolution, data mining, feedforward neural nets, image classification, Internet, iterative methods, multiple labels BibRef

Chahkandi, V.[Vahid], Fadaeieslam, M.J.[Mohammad Javad], Yaghmaee, F.[Farzin],
Improvement of image description using bidirectional LSTM,
MultInfoRetr(8), No. 3, September 2018, pp. 147-155.
Springer DOI 1809
BibRef

Jiang, Q.Y., Cui, X., Li, W.J.,
Deep Discrete Supervised Hashing,
IP(27), No. 12, December 2018, pp. 5996-6009.
IEEE DOI 1810
Binary codes, Image coding, Semantics, Encoding, Training, Optimization, Image retrieval, Image retrieval, deep learning, deep supervised hashing. BibRef

Jiang, Q.Y., Li, W.J.,
Discrete Latent Factor Model for Cross-Modal Hashing,
IP(28), No. 7, July 2019, pp. 3490-3501.
IEEE DOI 1906
BibRef
Earlier:
Deep Cross-Modal Hashing,
CVPR17(3270-3278)
IEEE DOI 1711
binary codes, file organisation, information retrieval, multimedia computing, cross-modal similarity search, CMH methods, multimedia. Binary codes, Convolutional codes, Databases, Machine learning, Neural networks, Semantics, Training BibRef

Lai, Z., Chen, Y., Wu, J., Wong, W.K., Shen, F.,
Jointly Sparse Hashing for Image Retrieval,
IP(27), No. 12, December 2018, pp. 6147-6158.
IEEE DOI 1810
binary codes, feature extraction, image retrieval, iterative methods, learning (artificial intelligence), feature selection BibRef

Chen, Y., Lai, Z., Wong, W.K., Shen, L., Hu, Q.,
Low-Rank Linear Embedding for Image Recognition,
MultMed(20), No. 12, December 2018, pp. 3212-3222.
IEEE DOI 1812
face recognition, feature extraction, image representation, iterative methods, matrix algebra, optimisation, feature selection BibRef

Wang, Y.W.[Yong-Wei], Palangi, H.[Hamid], Wang, Z.J.[Z. Jane], Wang, H.Q.[Hao-Qian],
RevHashNet: Perceptually de-hashing real-valued image hashes for similarity retrieval,
SP:IC(68), 2018, pp. 68-75.
Elsevier DOI 1810
RevHashNet, Image hashing reversion, Image de-hashing, Security, Deep learning BibRef

Hu, D., Nie, F., Li, X.,
Discrete Spectral Hashing for Efficient Similarity Retrieval,
IP(28), No. 3, March 2019, pp. 1080-1091.
IEEE DOI 1812
codes, data analysis, file organisation, image retrieval, optimisation, spectral analysis, discrete codes, discrete spectral hashing BibRef

Zhang, H.F.[Hao-Feng], Long, Y.[Yang], Shao, L.[Ling],
Zero-shot Hashing with orthogonal projection for image retrieval,
PRL(117), 2019, pp. 201-209.
Elsevier DOI 1901
Zero-shot Hashing, Orthogonal projection, Image retrieval BibRef

Chu, C.Q.[Chao-Qun], Gong, D.[Dahan], Chen, K.[Kai], Guo, Y.C.[Yu-Chen], Han, J.G.[Jun-Gong], Ding, G.G.[Gui-Guang],
Optimized projection for hashing,
PRL(117), 2019, pp. 169-178.
Elsevier DOI 1901
Hashing, Quantization, Algorithm BibRef

Long, Y.[Yang], Guan, Y.[Yu], Shao, L.[Ling],
Generic compact representation through visual-semantic ambiguity removal,
PRL(117), 2019, pp. 186-192.
Elsevier DOI 1901
Graph regularisation, Zero-shot learning, Hashing, Image retrieval BibRef

Guan, J.[Jian], Li, Y.F.[Yi-Fan], Sun, J.G.[Jian-Guo], Wang, X.[Xuan], Zhao, H.N.[Hai-Nan], Zhang, J.J.[Jia-Jia], Liu, Z.C.[Ze-Chao], Qi, S.H.[Shu-Han],
Graph-based supervised discrete image hashing,
JVCIR(58), 2019, pp. 675-687.
Elsevier DOI 1901
Discrete optimization, Graph regularization, Image retrieval, Supervised discrete hashing BibRef

Jin, L., Shu, X., Li, K., Li, Z., Qi, G., Tang, J.,
Deep Ordinal Hashing With Spatial Attention,
IP(28), No. 5, May 2019, pp. 2173-2186.
IEEE DOI 1903
convolutional neural nets, file organisation, image representation, image retrieval, deep ordinal hashing, global semantic information BibRef

Hu, D., Nie, F., Li, X.,
Deep Binary Reconstruction for Cross-Modal Hashing,
MultMed(21), No. 4, April 2019, pp. 973-985.
IEEE DOI 1903
Semantics, Task analysis, Binary codes, Correlation, Image reconstruction, Sparse matrices, Training, binary reconstruction BibRef

Zhang, H.F.[Hao-Feng], Liu, L.[Li], Long, Y.[Yang], Shao, L.[Ling],
Unsupervised Deep Hashing With Pseudo Labels for Scalable Image Retrieval,
IP(27), No. 4, April 2018, pp. 1626-1638.
IEEE DOI 1802
Binary codes, Correlation, Feature extraction, Quantization (signal), Robustness, Semantics, Visualization, unsupervised hashing BibRef

Liu, Y.[Yu], Song, J.K.[Jing-Kuan], Zhou, K.[Ke], Yan, L.Y.[Ling-Yu], Liu, L.[Li], Zou, F.[Fuhao], Shao, L.[Ling],
Deep Self-Taught Hashing for Image Retrieval,
Cyber(49), No. 6, June 2019, pp. 2229-2241.
IEEE DOI 1904
Feature extraction, Machine learning, Semantics, Image retrieval, Task analysis, Computer science, Binary codes, Deep Learning, self-taught BibRef

Tan, X.Y.[Xiao-Yan], Zou, Y.[Yun], Guo, Z.Y.[Zi-Yang], Zhou, K.[Ke], Yuan, Q.Q.[Qiang-Qiang],
Deep Contrastive Self-Supervised Hashing for Remote Sensing Image Retrieval,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhang, H.F.[Hao-Feng], Gu, Y.F.[Yi-Fan], Yao, Y.Z.[Ya-Zhou], Zhang, Z.[Zheng], Liu, L.[Li], Zhang, J.[Jian], Shao, L.[Ling],
Deep Unsupervised Self-Evolutionary Hashing for Image Retrieval,
MultMed(23), 2021, pp. 3400-3413.
IEEE DOI 2109
Binary codes, Training, Feature extraction, Quantization (signal), Semantics, Visualization, Optimization, Deep unsupervised hashing, self-evolutionary learning
See also SSDH: Semi-Supervised Deep Hashing for Large Scale Image Retrieval. BibRef

Ma, Q.[Qing], Bai, C.[Cong], Zhang, J.L.[Jing-Lin], Liu, Z.[Zhi], Chen, S.Y.[Sheng-Yong],
Supervised learning based discrete hashing for image retrieval,
PR(92), 2019, pp. 156-164.
Elsevier DOI 1905
Hashing, Supervised learning, Neural network, Optimization BibRef

Hu, M., Yang, Y., Shen, F., Xie, N., Hong, R., Shen, H.T.,
Collective Reconstructive Embeddings for Cross-Modal Hashing,
IP(28), No. 6, June 2019, pp. 2770-2784.
IEEE DOI 1905
file organisation, image retrieval, iterative methods, learning (artificial intelligence), search problems, image data, cross-modal retrieval BibRef

Li, P., Zhu, X., Zhang, X., Ren, P., Wang, L.,
Hash Code Reconstruction for Fast Similarity Search,
SPLetters(26), No. 5, May 2019, pp. 695-699.
IEEE DOI 1905
binary codes, file organisation, image coding, image reconstruction, image retrieval, reconstruction BibRef

Kang, C.[Chen], Zhu, L.[Li], Qian, X.M.[Xue-Ming], Han, J.W.[Jun-Wei], Wang, M.[Meng], Tang, Y.Y.[Yuan Yan],
Geometry and Topology Preserving Hashing for SIFT Feature,
MultMed(21), No. 6, June 2019, pp. 1563-1576.
IEEE DOI 1906
Geometry, Visualization, Image retrieval, Training, Topology, Hamming distance, CBIR, geometric information, GTPH, hashing, SIFT BibRef

Wang, X.F.[Xiao-Fei], Lee, F.F.[Fei-Fei], Chen, Q.[Qiu],
Similarity-preserving hashing based on deep neural networks for large-scale image retrieval,
JVCIR(61), 2019, pp. 260-271.
Elsevier DOI 1906
Large-scale image retrieval, Similarity comparison, Deep learning, Multi-label learning, Quantization error BibRef

Cui, Y.[Yan], Jiang, J.L.[Jie-Lin], Hu, Z.J.[Zuo-Jin], Jiang, X.Y.[Xiao-Yan], Yan, W.[Wuxia], Zhang, M.L.[Min-Ling],
Neighborhood kinship preserving hashing for supervised learning,
SP:IC(76), 2019, pp. 31-40.
Elsevier DOI 1906
Hashing learning, Kinship preserving hashing, Discriminant information, Discriminant hashing, Robust distance metric BibRef

Zhang, Z.[Zheng], Lai, Z.H.[Zhi-Hui], Huang, Z.[Zi], Wong, W.K.[Wai Keung], Xie, G.S.[Guo-Sen], Liu, L.[Li], Shao, L.[Ling],
Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding,
IP(28), No. 10, October 2019, pp. 4803-4818.
IEEE DOI 1909
binary codes, cryptography, file organisation, learning (artificial intelligence), matrix algebra, optimisation, image retrieval BibRef

Do, T., Le, K., Hoang, T., Le, H., Nguyen, T.V., Cheung, N.,
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning,
IP(28), No. 10, October 2019, pp. 4954-4969.
IEEE DOI 1909
binary codes, content-based retrieval, cryptography, feature extraction, image coding, image representation, embedding BibRef

Zhang, X.[Xueni], Zhou, L.[Lei], Bai, X.[Xiao], Luan, X.S.[Xiu-Shu], Luo, J.[Jie], Hancock, E.R.[Edwin R.],
Deep supervised hashing using symmetric relative entropy,
PRL(125), 2019, pp. 677-683.
Elsevier DOI 1909
Image retrieval, Hashing, Symmetric relative entropy BibRef

Cakir, F.[Fatih], He, K.[Kun], Bargal, S.A.[Sarah Adel], Sclaroff, S.[Stan],
Hashing with Mutual Information,
PAMI(41), No. 10, October 2019, pp. 2424-2437.
IEEE DOI 1909
Mutual information, Task analysis, Hash functions, Optimization, Quantization (signal), Deep learning, Neural networks, Hashing, mutual information BibRef

Lai, H., Pan, Y., Liu, S., Weng, Z., Yin, J.,
Improved Search in Hamming Space Using Deep Multi-Index Hashing,
CirSysVideo(29), No. 9, September 2019, pp. 2844-2855.
IEEE DOI 1909
Image retrieval, deep multi-index hashing, deep-learning, nearest neighbor search BibRef

Yu, J.[Jun], Wu, X.J.[Xiao-Jun], Kittler, J.V.[Josef V.],
Discriminative Supervised Hashing for Cross-Modal Similarity Search,
IVC(89), 2019, pp. 50-56.
Elsevier DOI 1909
Cross-modal retrieval, Supervised hashing, Unified binary codes, Matrix factorization, Discriminative BibRef

Tang, X.[Xu], Liu, C.[Chao], Ma, J.J.[Jing-Jing], Zhang, X.R.[Xiang-Rong], Liu, F.[Fang], Jiao, L.C.[Li-Cheng],
Large-Scale Remote Sensing Image Retrieval Based on Semi-Supervised Adversarial Hashing,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Da, C.[Cheng], Meng, G.F.[Gao-Feng], Xiang, S.M.[Shi-Ming], Ding, K.[Kun], Xu, S.B.[Shi-Biao], Yang, Q.[Qing], Pan, C.H.[Chun-Hong],
Nonlinear Asymmetric Multi-Valued Hashing,
PAMI(41), No. 11, November 2019, pp. 2660-2676.
IEEE DOI 1910
Databases, Binary codes, Optimization, Neural networks, Encoding, Hamming distance, Semantics, Asymmetric hashing, nonlinear transformation BibRef

Fang, Y.X.[Yi-Xian], Ren, Y.[Yuwei],
Supervised discrete cross-modal hashing based on kernel discriminant analysis,
PR(98), 2020, pp. 107062.
Elsevier DOI 1911
Cross-modal hashing, Discrete, Kernel discriminant analysis BibRef

Zhou, L.[Lei], Bai, X.[Xiao], Liu, X.L.[Xiang-Long], Zhou, J.[Jun], Hancock, E.R.[Edwin R.],
Learning binary code for fast nearest subspace search,
PR(98), 2020, pp. 107040.
Elsevier DOI 1911
Nearest subspace search, Learning binary code, Hashing, Matrix classifier BibRef

Guo, J., Zhu, W.,
Collective Affinity Learning for Partial Cross-Modal Hashing,
IP(29), No. , 2020, pp. 1344-1355.
IEEE DOI 1911
Learning systems, Adaptation models, Binary codes, Time complexity, Probabilistic logic, Fuses, Convergence, similarity search BibRef

Li, C., Yan, T., Luo, X., Nie, L., Xu, X.,
Supervised Robust Discrete Multimodal Hashing for Cross-Media Retrieval,
MultMed(21), No. 11, November 2019, pp. 2863-2877.
IEEE DOI 1911
Binary codes, Semantics, Hash functions, Task analysis, Optimization, Quantization (signal), Correlation, discrete hashing BibRef

Liao, J.X.[Jian-Xin], Li, B.[Baoran], Yang, D.[Di], Wang, J.Y.[Jing-Yu], Qi, Q.[Qi], Wang, J.[Jing],
Deep supervised hashing network with integrated regularisation,
IET-IPR(13), No. 12, October 2019, pp. 2143-2151.
DOI Link 1911
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Shen, Y.M.[Yu-Ming], Liu, L.[Li], Shao, L.[Ling],
Unsupervised Binary Representation Learning with Deep Variational Networks,
IJCV(127), No. 11-12, December 2019, pp. 1614-1628.
Springer DOI 1911
Hashing, Unsupervised learning, Deep learning, Image retrieval. BibRef

Bai, J., Ni, B., Wang, M., Li, Z., Cheng, S., Yang, X., Hu, C., Gao, W.,
Deep Progressive Hashing for Image Retrieval,
MultMed(21), No. 12, December 2019, pp. 3178-3193.
IEEE DOI 1912
Binary codes, Semantics, Image retrieval, Task analysis, Visualization, Feature extraction, Recurrent neural networks, graph-based recurrent neural networks BibRef

Peng, H.Y.[Han-Yu], He, J.J.[Jun-Jun], Chen, S.F.[Shi-Feng], Wang, Y.[Yali], Qiao, Y.[Yu],
Dual-supervised attention network for deep cross-modal hashing,
PRL(128), 2019, pp. 333-339.
Elsevier DOI 1912
Cross-modal retrieval, Deep learning, Hash code BibRef

Valsesia, D.[Diego], Fosson, S.M.[Sophie M.], Ravazzi, C.[Chiara], Bianchi, T.[Tiziano], Magli, E.[Enrico],
Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections,
PRL(128), 2019, pp. 93-99.
Elsevier DOI 1912
Embeddings, Sparse random projections, Set-similarity, Jaccard similarity, Locality-sensitive hashing BibRef

Chen, Y.X.[Ya-Xiong], Lu, X.Q.[Xiao-Qiang], Wang, S.[Shuai],
Deep Cross-Modal Image-Voice Retrieval in Remote Sensing,
GeoRS(58), No. 10, October 2020, pp. 7049-7061.
IEEE DOI 2009
Remote sensing, Convolution, Quantization (signal), Image retrieval, Deep learning, Convolutional codes, quantization error BibRef

Chen, Y.X.[Ya-Xiong], Lu, X.Q.[Xiao-Qiang],
A Deep Hashing Technique for Remote Sensing Image-Sound Retrieval,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
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Chen, Y.X.[Ya-Xiong], Lu, X.Q.[Xiao-Qiang], Li, X.L.[Xue-Long],
Supervised deep hashing with a joint deep network,
PR(105), 2020, pp. 107368.
Elsevier DOI 2006
Image retrieval, Supervised hashing, CNN, RNN, Deep learning BibRef

Liong, V.E.[Venice Erin], Lu, J.W.[Ji-Wen], Duan, L.Y.[Ling-Yu], Tan, Y.P.[Yap-Peng],
Deep Variational and Structural Hashing,
PAMI(42), No. 3, March 2020, pp. 580-595.
IEEE DOI 2002
BibRef
Earlier: A1, A2, A4, Only:
Learning a cross-modal hashing network for multimedia search,
ICIP17(3700-3704)
IEEE DOI 1803
Binary codes, Training, Visualization, Semantics, Quantization (signal), Probabilistic logic, Convolution, cross-modal retrieval. Benchmark testing, Multimedia communication, Optimization, Semantics, Training, hashing BibRef

Hoang, T.[Tuan], Do, T.T.[Thanh-Toan], Le, H.[Huu], Le-Tan, D.K.[Dang-Khoa], Cheung, N.M.[Ngai-Man],
Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing,
CVIU(191), 2020, pp. 102852.
Elsevier DOI 2002
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Do, T.T.[Thanh-Toan], Le-Tan, D.K.[Dang-Khoa], Pham, T.T., Cheung, N.M.[Ngai-Man],
Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search,
CVPR17(4217-4226)
IEEE DOI 1711
Binary codes, Feature extraction, Image reconstruction, Image representation, Optimization, Quantization (signal), Training BibRef

Chen, Y., Tian, Z., Zhang, H., Wang, J., Zhang, D.,
Strongly Constrained Discrete Hashing,
IP(29), 2020, pp. 3596-3611.
IEEE DOI 2002
Learning to hash, image retrieval, discrete optimization BibRef

Liu, X., Nie, X., Zhou, Q., Nie, L., Yin, Y.,
Model Optimization Boosting Framework for Linear Model Hash Learning,
IP(29), 2020, pp. 4254-4268.
IEEE DOI 2002
Approximate nearest neighbor search, hashing, linear-based hashing, self-improvement BibRef

Ding, Y., Wong, W.K., Lai, Z., Zhang, Z.,
Bilinear Supervised Hashing Based on 2D Image Features,
CirSysVideo(30), No. 2, February 2020, pp. 590-602.
IEEE DOI 2002
Binary codes, Linear programming, Optimization, Feature extraction, Kernel, Learning systems, discrete optimization BibRef

Ma, C.[Chao], Gong, C.[Chen], Li, X.[Xiang], Huang, X.L.[Xiao-Lin], Liu, W.[Wei], Yang, J.[Jie],
Toward Making Unsupervised Graph Hashing Discriminative,
MultMed(22), No. 3, March 2020, pp. 760-774.
IEEE DOI 2003
Binary codes, Principal component analysis, Hamming distance, Videos, Manifolds, Probabilistic logic, Data models, probabilistic model BibRef

Tang, Z.J.[Zhen-Jun], Zhang, H.Y.[Han-Yun], Pun, C.M.[Chi-Man], Yu, M.Z.[Meng-Zhu], Yu, C.Q.A.[Chun-Qi-Ang], Zhang, X.Q.[Xian-Quan],
Robust image hashing with visual attention model and invariant moments,
IET-IPR(14), No. 5, 17 April 2020, pp. 901-908.
DOI Link 2004
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Kong, J.[Jie], Sun, Q.S.[Quan-Sen], Mukherjee, M.[Mithun], Lloret, J.[Jaime],
Low-Rank Hypergraph Hashing for Large-Scale Remote Sensing Image Retrieval,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Lin, M., Ji, R., Chen, S., Sun, X., Lin, C.,
Similarity-Preserving Linkage Hashing for Online Image Retrieval,
IP(29), 2020, pp. 5289-5300.
IEEE DOI 2004
Hash functions, Binary codes, Semantics, Couplings, Training, Image retrieval, Streaming media, Image retrieval, online hashing, similarity preservation BibRef

Ding, Y., Wong, W.K., Lai, Z., Chen, Y.,
Study on 2D Feature-Based Hash Learning,
MultMed(22), No. 5, May 2020, pp. 1298-1309.
IEEE DOI 2005
Feature extraction, Binary codes, Image retrieval, Matrix converters, Sparse matrices, bilinear projection BibRef

Yang, J.[Juexu], Zhang, Y.[Yuejie], Feng, R.[Rui], Zhang, T.[Tao], Fan, W.G.[Wei-Guo],
Deep reinforcement hashing with redundancy elimination for effective image retrieval,
PR(100), 2020, pp. 107116.
Elsevier DOI 2005
Deep reinforcement hashing, Redundancy elimination, Image retrieval, Block-wise hash code inference, Hash code de-redundancy BibRef

Weng, Z.Y.[Zhen-Yu], Zhu, Y.S.[Yue-Sheng],
Concatenation hashing: A relative position preserving method for learning binary codes,
PR(100), 2020, pp. 107151.
Elsevier DOI 2005
Unsupervised hashing, Approximate nearest neighbor search, Clustering BibRef

Wang, M., Zhou, W., Tian, Q., Li, H.,
Neighborhood Pyramid Preserving Hashing,
MultMed(22), No. 6, June 2020, pp. 1507-1518.
IEEE DOI 2005
Binary codes, Quantization (signal), Hash functions, Semantics, Training data, Linear programming, Euclidean distance, image retrieval BibRef

Peng, Y., Zhang, J., Ye, Z.,
Deep Reinforcement Learning for Image Hashing,
MultMed(22), No. 8, August 2020, pp. 2061-2073.
IEEE DOI 2007
Reinforcement learning, Binary codes, Image retrieval, Correlation, Learning systems, Optimization, Training, image retrieval BibRef

Zhang, L., Liu, J., Huang, F., Yang, Y., Zhang, D.,
Deep-Like Hashing-in-Hash for Visual Retrieval: An Embarrassingly Simple Method,
IP(29), 2020, pp. 8149-8162.
IEEE DOI 2008
Visualization, Neural networks, Machine learning, Optimization, Computer architecture, Task analysis, Computational modeling, image retrieval BibRef

Li, Q.[Qi], Sun, Z.N.[Zhe-Nan], He, R.[Ran], Tan, T.N.[Tie-Niu],
A General Framework for Deep Supervised Discrete Hashing,
IJCV(128), No. 8-9, September 2020, pp. 2204-2222.
Springer DOI 2008
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Li, Z.C.[Ze-Chao], Tang, J.H.[Jin-Hui], Zhang, L.Y.[Li-Yan], Yang, J.[Jian],
Weakly-supervised Semantic Guided Hashing for Social Image Retrieval,
IJCV(128), No. 8-9, September 2020, pp. 2265-2278.
Springer DOI 2008
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Lin, M.B.[Ming-Bao], Ji, R.R.[Rong-Rong], Liu, H.[Hong], Sun, X.S.[Xiao-Shuai], Chen, S.[Shen], Tian, Q.[Qi],
Hadamard Matrix Guided Online Hashing,
IJCV(128), No. 8-9, September 2020, pp. 2279-2306.
Springer DOI 2008
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Shi, X.S.[Xiao-Shuang], Guo, Z.H.[Zhen-Hua], Xing, F.Y.[Fu-Yong], Liang, Y.[Yun], Yang, L.[Lin],
Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing,
IJCV(128), No. 8-9, September 2020, pp. 2307-2324.
Springer DOI 2008
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Yu, T.[Tan], Meng, J.J.[Jing-Jing], Fang, C.[Chen], Jin, H.L.[Hai-Lin], Yuan, J.S.[Jun-Song],
Product Quantization Network for Fast Visual Search,
IJCV(128), No. 8-9, September 2020, pp. 2325-2343.
Springer DOI 2008
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Mandal, D.[Devraj], Rao, P., Biswas, S.[Soma],
Semi-Supervised Cross-Modal Retrieval With Label Prediction,
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IEEE DOI 2008
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Label Prediction Framework For Semi-Supervised Cross-Modal Retrieval,
ICIP20(2311-2315)
IEEE DOI 2011
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Cross-Modal Retrieval With Noisy Labels,
ICIP20(2326-2330)
IEEE DOI 2011
Training data, Annotations, Training, Noise measurement, Entropy, Task analysis, Labeling, Semi-Supervised Learning, Cross-Modal Retrieval. Prediction algorithms, Entropy, Decoding, Reliability, Indexes, Task analysis, Cross-modal retrieval, semi-supervised learning. Noise measurement, Training data, Standards, Degradation, cross-modal hashing, pairflip noise BibRef

Mandal, D.[Devraj], Annadani, Y.[Yashas], Biswas, S.[Soma],
GrowBit: Incremental Hashing for Cross-Modal Retrieval,
ACCV18(IV:305-321).
Springer DOI 1906
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Li, P., Han, L., Tao, X., Zhang, X., Grecos, C., Plaza, A., Ren, P.,
Hashing Nets for Hashing: A Quantized Deep Learning to Hash Framework for Remote Sensing Image Retrieval,
GeoRS(58), No. 10, October 2020, pp. 7331-7345.
IEEE DOI 2009
Remote sensing, Image retrieval, Task analysis, Neurons, Satellites, Machine learning, Computational modeling, Class intensive, remote sensing images retrieval BibRef

Zhang, L.[Lei], Liu, J.[Ji], Yang, Y.[Yang], Huang, F.X.[Fu-Xiang], Nie, F.P.[Fei-Ping], Zhang, D.[David],
Optimal Projection Guided Transfer Hashing for Image Retrieval,
CirSysVideo(30), No. 10, October 2020, pp. 3788-3802.
IEEE DOI 2010
Binary codes, Maximum likelihood estimation, Training, Image retrieval, Semantics, Optimization methods, image retrieval BibRef

Zhou, Z.Y.[Zi-Yao], Wang, X.S.[Xin-Sheng], Li, C.[Chen], Zeng, M.[Ming], Li, Z.Y.[Zhong-Yu],
Adaptive deep feature aggregation using Fourier transform and low-pass filtering for robust object retrieval,
JVCIR(72), 2020, pp. 102860.
Elsevier DOI 2010
Image retrieval, Convolutional neural networks, Feature aggregation, Fourier transform, Low-pass filtering BibRef

Wan, J., Niu, L., Bai, B., Wang, H.,
Graph Regularized Deep Discrete Hashing for Multi-Label Image Retrieval,
SPLetters(27), 2020, pp. 1994-1998.
IEEE DOI 2011
Semantics, Binary codes, Image retrieval, Feature extraction, Neural networks, Optimization, Manifolds, multi-level semantic similarity BibRef

Ma, L.[Lei], Li, X.[Xuan], Shi, Y.[Yu], Wu, J.M.[Jin-Meng], Zhang, Y.Z.[Yao-Zhong],
Correlation Filtering-Based Hashing for Fine-Grained Image Retrieval,
SPLetters(27), 2020, pp. 2129-2133.
IEEE DOI 2012
Semantics, Correlation, Visualization, Image retrieval, Training, Binary codes, Feature extraction, Correlation filtering, hash coding BibRef

Gu, L.C.[Ling-Chen], Liu, J.[Ju], Liu, X.X.[Xiao-Xi], Sun, J.D.[Jian-De],
Deep Loss Driven Multi-Scale Hashing Based on Pyramid Connected Network,
MultMed(23), 2021, pp. 939-954.
IEEE DOI 2103
Semantics, Binary codes, Kernel, Convolution, Deep learning, Convolutional codes, Streaming media, Deep learning, nearest neighbor search BibRef

Passalis, N.[Nikolaos], Tefas, A.[Anastasios],
Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval,
SP:IC(93), 2021, pp. 116146.
Elsevier DOI 2103
Deep supervised hashing, Compact representations, Quadratic mutual information, Image hashing BibRef

Passalis, N.[Nikolaos], Tefas, A.[Anastasios],
Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval,
ICPR21(885-892)
IEEE DOI 2105
Training, Measurement, Adaptation models, Image retrieval, Network architecture, Information retrieval, Pattern recognition BibRef

Weng, Z.Y.[Zhen-Yu], Zhu, Y.S.[Yue-Sheng],
Online Hashing With Bit Selection for Image Retrieval,
MultMed(23), 2021, pp. 1868-1881.
IEEE DOI 2107
Hash functions, Binary codes, Correlation, Image retrieval, Measurement, Streaming media, Online hashing, image retrieval BibRef

Qin, Q.B.[Qi-Bing], Huang, L.[Lei], Wei, Z.Q.[Zhi-Qiang], Xie, K.Z.[Ke-Zhen], Zhang, W.F.[Wen-Feng],
Unsupervised Deep Multi-Similarity Hashing With Semantic Structure for Image Retrieval,
CirSysVideo(31), No. 7, July 2021, pp. 2852-2865.
IEEE DOI 2107
Semantics, Quantization (signal), Binary codes, Image retrieval, Convolutional neural networks, Optimization, Feature extraction, pairwise loss BibRef

Jin, S.[Sheng], Yao, H.X.[Hong-Xun], Zhou, Q.[Qin], Liu, Y.[Yao], Huang, J.Q.[Jian-Qiang], Hua, X.S.[Xian-Sheng],
Unsupervised Discrete Hashing With Affinity Similarity,
IP(30), 2021, pp. 6130-6141.
IEEE DOI 2107
Semantics, Optimization, Quantization (signal), Image retrieval, Binary codes, Feature extraction, Aggregates, Unsupervised hashing, balanced affinity graph BibRef

Wang, J.[Jinbao], Xu, S.[Shuo], Zheng, F.[Feng], Lu, K.[Ke], Song, J.[Jingkuan], Shao, L.[Ling],
Learning Efficient Hash Codes for Fast Graph-Based Data Similarity Retrieval,
IP(30), 2021, pp. 6321-6334.
IEEE DOI 2107
Task analysis, Measurement, Computational modeling, Binary codes, Graph neural networks, Data models, Training, Graph representation, similarity retrieval BibRef

Liu, X.B.[Xing-Bo], Nie, X.S.[Xiu-Shan], Dai, Q.[Qi], Huang, Y.[Yupan], Lian, L.[Li], Yin, Y.L.[Yi-Long],
Reinforced Short-Length Hashing,
CirSysVideo(31), No. 9, September 2021, pp. 3655-3668.
IEEE DOI 2109
Training, Semantics, Training data, Optimization, Hash functions, Boosting, Synchronous digital hierarchy, ANN search, model boosting BibRef

Zhao, W.Q.[Wan-Qing], Guan, Z.[Ziyu], Luo, H.Z.[Hang-Zai], Peng, J.Y.[Jin-Ye], Fan, J.P.[Jian-Ping],
Deep Multiple Instance Hashing for Fast Multi-Object Image Search,
IP(30), 2021, pp. 7995-8007.
IEEE DOI 2109
Training, Image retrieval, Semantics, Supervised learning, Object detection, Benchmark testing, Search engines, conditional random field BibRef

Fang, Y.Z.[Yu-Zhi], Zhang, H.X.[Hua-Xiang], Liu, L.[Li],
Label projection online hashing for balanced similarity,
JVCIR(80), 2021, pp. 103314.
Elsevier DOI 2110
Online hashing, Label semantic, Image retrieval, Balanced similarity BibRef

Shi, Y.[Yang], Nie, X.S.[Xiu-Shan], Chen, M.[Meng], Lian, L.[Li], Yin, Y.L.[Yi-Long],
Deep Hashing with Weighted Spatial Importance,
MultMed(23), 2021, pp. 3778-3792.
IEEE DOI 2110
Semantics, Hash functions, Feature extraction, Binary codes, Distributed databases, Deep learning, Data models, Hash, weight BibRef

Shi, Y.[Yang], Nie, X.S.[Xiu-Shan], Zhou, Q.[Quan], Xi, X.M.[Xiao-Ming], Yin, Y.L.[Yi-Long],
Discrete Spatial Importance-based Deep Weighted Hashing,
ACCV20(III:372-387).
Springer DOI 2103
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Cao, Y.[Yuan], Qi, H.[Heng], Gui, J.[Jie], Li, K.Q.[Ke-Qiu], Tang, Y.Y.[Yuan Yan], Kwok, J.T.Y.[James Tin-Yau],
Learning to Hash With Dimension Analysis Based Quantizer for Image Retrieval,
MultMed(23), 2021, pp. 3907-3918.
IEEE DOI 2110
Quantization (signal), Data acquisition, Image retrieval, Nearest neighbor methods, Hamming distance, Symmetric matrices, quantization BibRef

Song, W.W.[Wei-Wei], Li, S.T.[Shu-Tao], Benediktsson, J.A.[Jón Atli],
Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images,
GeoRS(59), No. 11, November 2021, pp. 9661-9672.
IEEE DOI 2111
Feature extraction, Semantics, Remote sensing, Image retrieval, Visualization, Sensors, Deep learning, Classification, deep learning, retrieval BibRef

Zhan, Y.W.[Yu-Wei], Wang, Y.X.[Yong-Xin], Sun, Y.[Yu], Wu, X.M.[Xiao-Ming], Luo, X.[Xin], Xu, X.S.[Xin-Shun],
Discrete online cross-modal hashing,
PR(122), 2022, pp. 108262.
Elsevier DOI 2112
Cross-modal retrieval, Discrete optimization, Online hashing, Learning to hash BibRef

Jose, A.[Abin], Ottlik, E.S.[Erik Stefan], Rohlfing, C.[Christian], Ohm, J.R.[Jens-Rainer],
Optimized feature space learning for generating efficient binary codes for image retrieval,
SP:IC(100), 2022, pp. 116529.
Elsevier DOI 2112
Linear Discriminant Analysis, Canonical Correlation Analysis, Hashing, Image retrieval, Iterative Quantization BibRef

Lu, X.[Xu], Liu, L.[Li], Nie, L.Q.[Li-Qiang], Chang, X.J.[Xiao-Jun], Zhang, H.X.[Hua-Xiang],
Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-Scale Multimedia Retrieval,
MultMed(23), 2021, pp. 4541-4554.
IEEE DOI 2112
Semantics, Task analysis, Data models, Feature extraction, Redundancy, Fuses, Optimization, Multi-modal hashing, interpretable hashing BibRef

Wang, S.H.[Shao-Hua], Kang, X.[Xiao], Liu, F.S.[Fa-Sheng], Nie, X.S.[Xiu-Shan], Liu, X.[Xingbo],
Discrete hashing with triple supervision learning,
JVCIR(81), 2021, pp. 103355.
Elsevier DOI 2112
ANN search, Discrete hashing, Triple supervision BibRef

Korfhage, N.[Nikolaus], Mühling, M.[Markus], Freisleben, B.[Bernd],
ElasticHash: Semantic Image Similarity Search by Deep Hashing with Elasticsearch,
CAIP21(II:14-23).
Springer DOI 2112
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Ding, K.M.[Kai-Meng], Chen, S.P.[Shi-Ping], Wang, Y.[Yu], Liu, Y.M.[Yue-Ming], Zeng, Y.[Yue], Tian, J.[Jin],
AAU-Net: Attention-Based Asymmetric U-Net for Subject-Sensitive Hashing of Remote Sensing Images,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
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Chen, Z.H.[Zhen-Hai], Tang, Z.J.[Zhen-Jun], Zhang, X.P.[Xin-Peng], Sun, R.H.[Rong-Hai], Zhang, X.Q.[Xian-Quan],
Efficient Video Hashing Based on Low-Rank Frames,
IET-IPR(16), No. 2, 2022, pp. 344-355.
DOI Link 2201
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Hemati, S.[Sobhan], Tizhoosh, H.R.,
Beyond neighbourhood-preserving transformations for quantization-based unsupervised hashing,
PRL(153), 2022, pp. 44-50.
Elsevier DOI 2201
Image Search, Unsupervised Hashing, Quantization, Binary Representation BibRef

Zhang, X.[Xi], Wang, X.M.[Xiu-Mei], Cheng, P.[Peitao],
Contrast-Based Unsupervised Hashing Learning With Multi-Hashcode,
SPLetters(29), 2022, pp. 219-223.
IEEE DOI 2202
Codes, Semantics, Training, Image retrieval, Mathematical models, Annotations, Multimedia Web sites, Contrastive learning, unsupervised hashing BibRef

Lin, M.B.[Ming-Bao], Ji, R.R.[Rong-Rong], Sun, X.S.[Xiao-Shuai], Zhang, B.C.[Bao-Chang], Huang, F.Y.[Fei-Yue], Tian, Y.H.[Yong-Hong], Tao, D.C.[Da-Cheng],
Fast Class-Wise Updating for Online Hashing,
PAMI(44), No. 5, May 2022, pp. 2453-2467.
IEEE DOI 2204
Training, Hash functions, Optimization, Binary codes, Training data, Complexity theory, Boosting, Image retrieval, binary codes BibRef

Sharma, S.[Saurabh], Gupta, V.[Vishal], Juneja, M.[Mamta],
A novel unsupervised multiple feature hashing for image retrieval and indexing (MFHIRI),
JVCIR(84), 2022, pp. 103467.
Elsevier DOI 2204
Computer vision, Image indexing, Multi-view hashing, Approximate nearest neighbor search, Feature fusion, Graph theory BibRef

Shi, Y.[Yang], Nie, X.S.[Xiu-Shan], Liu, X.B.[Xing-Bo], Zou, L.[Li], Yin, Y.L.[Yi-Long],
Supervised Adaptive Similarity Matrix Hashing,
IP(31), 2022, pp. 2755-2766.
IEEE DOI 2204
Training, Hash functions, Optimization, Feature extraction, Binary codes, Dogs, Convolutional neural networks, Hashing, adaptive similarity matrix BibRef

Li, S.Y.[Shu-Yan], Li, X.[Xiu], Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Structure-Adaptive Neighborhood Preserving Hashing for Scalable Video Search,
CirSysVideo(32), No. 4, April 2022, pp. 2441-2454.
IEEE DOI 2204
Encoding, Hash functions, Feature extraction, Recurrent neural networks, Transforms, Training, Search methods, unsupervised BibRef

Li, S.Y.[Shu-Yan], Chen, Z., Lu, J.W.[Ji-Wen], Li, X.[Xiu], Zhou, J.[Jie],
Neighborhood Preserving Hashing for Scalable Video Retrieval,
ICCV19(8211-8220)
IEEE DOI 2004
binary codes, cryptography, feature extraction, image reconstruction, image sequences, Standards BibRef

Wang, M.[Min], Zhou, W.G.[Wen-Gang], Tian, Q.[Qi], Li, H.Q.[Hou-Qiang],
Deep Enhanced Weakly-Supervised Hashing With Iterative Tag Refinement,
MultMed(24), 2022, pp. 2779-2790.
IEEE DOI 2206
Image retrieval, Quantization (signal), Semantics, Noise measurement, Binary codes, Insects, Neural networks, image retrieval BibRef

Zhang, M.[Ming], Zhe, X.F.[Xue-Fei], Ou-Yang, L.[Le], Chen, S.F.[Shi-Feng], Yan, H.[Hong],
Semantic Hierarchy Preserving Deep Hashing for Large-Scale Image Retrieval,
MVA21(1-5)
DOI Link 2109
Training, Semantics, Image retrieval, Binary codes, Benchmark testing BibRef

Djenouri, Y.[Youcef], Hjelmervik, J.[Jon],
Hybrid Decomposition Convolution Neural Network and Vocabulary Forest for Image Retrieval,
ICPR21(3064-3070)
IEEE DOI 2105
Vocabulary, Runtime, Correlation, Convolution, Image retrieval, Neural networks BibRef

Lu, J.L.[Jiang-Lin], Lai, Z.H.[Zhi-Hui], Lin, J.X.[Jing-Xu], Lin, Q.H.[Qing-Hong], Zhou, J.[Jie],
Label Self-Adaption Hashing for Image Retrieval,
ICPR21(2256-2263)
IEEE DOI 2105
Training, Image resolution, Image retrieval, Binary codes, Feature extraction, Data models, Data mining BibRef

Zhang, Y.F.[Yong-Fei], Peng, C.[Cheng], Zhang, J.T.[Jing-Tao], Liu, X.L.[Xiang-Long], Pu, S.L.[Shi-Liang], Chen, C.H.[Chang-Huai],
Hierarchical Deep Hashing for Fast Large Scale Image Retrieval,
ICPR21(3837-3844)
IEEE DOI 2105
Hash functions, Image retrieval, Memory management, Benchmark testing, Performance gain, Feature extraction, Large Scale BibRef

Zhang, M.[Ming], Yan, H.[Hong],
Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrieval,
ICPR21(10516-10523)
IEEE DOI 2105
Measurement, Hamming distance, Image retrieval, Semantics, Neural networks, Benchmark testing, convolutional neural networks BibRef

Chen, X., Lu, C.,
An End-to-End Adversarial Hashing Method for Unsupervised Multispectral Remote Sensing Image Retrieval,
ICIP20(1536-1540)
IEEE DOI 2011
Remote sensing, Image retrieval, Image color analysis, Image reconstruction, Feature extraction, unsupervised learning BibRef

Zhan, J., Mo, Z., Zhu, Y.,
Deep Self-Learning Hashing for Image Retrieval,
ICIP20(1556-1560)
IEEE DOI 2011
Prototypes, Training, Semantics, Feature extraction, Image retrieval, Quantization (signal), Binary codes, supervised hashing, binary representation BibRef

Tang, Y., Shen, X., Ji, Z., Wang, T., Fu, P., Sun, Q.S.,
Supervised Multi-View Distributed Hashing,
ICIP20(2306-2310)
IEEE DOI 2011
Distributed databases, Convex functions, Benchmark testing, Linear programming, Computational modeling, Binary codes, multi-view data BibRef

Zhang, M., Liu, S., Zhu, Y., Bai, Z., Lin, J.,
Seg-Hashnet: Semantic Segmentation Based Unsupervised Hashing,
ICIP20(2371-2375)
IEEE DOI 2011
Semantics, Image segmentation, Training, Feature extraction, Binary codes, Learning systems, Streaming media, Deep Neural Network BibRef

Shen, Y.M.[Yu-Ming], Qin, J.[Jie], Chen, J.X.[Jia-Xin], Yu, M.Y.[Meng-Yang], Liu, L.[Li], Zhu, F.[Fan], Shen, F.M.[Fu-Min], Shao, L.[Ling],
Auto-Encoding Twin-Bottleneck Hashing,
CVPR20(2815-2824)
IEEE DOI 2008
Decoding, Encoding, Binary codes, Training, Image reconstruction, Neurons, Data structures BibRef

Hu, H., Xie, L., Hong, R., Tian, Q.,
Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing,
CVPR20(3120-3129)
IEEE DOI 2008
Training, Semantics, Computational modeling, Feature extraction, Dogs, Training data, Task analysis BibRef

Wang, R., Wang, R., Qiao, S., Shan, S., Chen, X.,
Deep Position-Aware Hashing for Semantic Continuous Image Retrieval,
WACV20(2482-2491)
IEEE DOI 2006
Semantics, Binary codes, Training, Image retrieval, Quantization (signal), Marine vehicles, Optimization BibRef

Hong, W., Chang, Y., Qin, H., Hung, W., Tsai, Y., Yang, M.,
Image Hashing via Linear Discriminant Learning,
WACV20(2520-2528)
IEEE DOI 2006
Binary codes, Training, Task analysis, Runtime, Optimization, Neural networks, Testing BibRef

Kang, R., Cao, Y., Long, M., Wang, J., Yu, P.S.,
Maximum-Margin Hamming Hashing,
ICCV19(8251-8260)
IEEE DOI 2004
binary codes, computational complexity, Hamming codes, image representation, image retrieval, Semantics BibRef

Chen, Y.D.[Yu-Dong], Lai, Z.H.[Zhi-Hui], Ding, Y.J.[Yu-Juan], Lin, K.Y.[Kai-Yi], Wong, W.K.[Wai-Keung],
Deep Supervised Hashing With Anchor Graph,
ICCV19(9795-9803)
IEEE DOI 2004
cryptography, file organisation, graph theory, learning (artificial intelligence), matrix algebra, optimisation, Training data BibRef

Xu, J., Guo, C., Liu, Q., Qin, J., Wang, Y., Liu, L.,
DHA: Supervised Deep Learning to Hash with an Adaptive Loss Function,
CEFRL19(3054-3062)
IEEE DOI 2004
binary codes, cryptography, image representation, image retrieval, learning (artificial intelligence), nearest neighbour methods, adaptive BibRef

Wu, D.[Dayan], Dai, Q.[Qi], Liu, J.[Jing], Li, B.[Bo], Wang, W.P.[Wei-Ping],
Deep Incremental Hashing Network for Efficient Image Retrieval,
CVPR19(9061-9069).
IEEE DOI 2002
BibRef

Gattupalli, V.[Vijetha], Zhuo, Y.X.[Yao-Xin], Li, B.X.[Bao-Xin],
Weakly Supervised Deep Image Hashing Through Tag Embeddings,
CVPR19(10367-10376).
IEEE DOI 2002
BibRef

Wu, L., Fang, Y., Ling, H., Chen, J., Li, P.,
Robust Mutual Learning Hashing,
ICIP19(2219-2223)
IEEE DOI 1910
Supervised hashing, spatial transformer networks, mutual learning BibRef

Shi, Y., Nie, X., Zhou, X., Xi, X., Yin, Y.,
Variable-Length Quantization Strategy for Hashing,
ICIP19(2239-2243)
IEEE DOI 1910
Hashing, quantization, variable-length quantization BibRef

Yang, H., Tu, C., Chen, C.,
Adaptive Labeling For Hash Code Learning Via Neural Networks,
ICIP19(2244-2248)
IEEE DOI 1910
Image retrieval, deep learning, hash BibRef

Pidhorskyi, S.[Stanislav], Jones, Q.[Quinn], Motiian, S.[Saeid], Adjeroh, D.[Donald], Doretto, G.[Gianfranco],
Deep Supervised Hashing with Spherical Embedding,
ACCV18(IV:417-434).
Springer DOI 1906
BibRef

Cheng, J.D.[Jing-Dong], Sun, Q.L.[Qiu-Le], Zhang, J.X.[Jian-Xin], Wei, X.P.[Xiao-Peng], Zhang, Q.[Qiang],
Deep High-order Supervised Hashing for Image Retrieval,
ICPR18(2693-2698)
IEEE DOI 1812
Correlation, Feature extraction, Image retrieval, Convolutional codes, Task analysis, Backpropagation, Computer architecture BibRef

Yu, J., Wu, X., Kittler, J.V.,
Semi-supervised Hashing for Semi-Paired Cross-View Retrieval,
ICPR18(958-963)
IEEE DOI 1812
Optimization, Quantization (signal), Linear programming, Correlation, Feature extraction, Semantics, Matrix converters, retrieval BibRef

Zhang, X.[Xueni], Zhou, L.[Lei], Bai, X.[Xiao], Hancock, E.R.[Edwin R.],
Deep Supervised Hashing with Information Loss,
SSSPR18(395-405).
Springer DOI 1810
BibRef

Cao, Y.[Yue], Liu, B.[Bin], Long, M.S.[Ming-Sheng], Wang, J.M.[Jian-Min],
Cross-Modal Hamming Hashing,
ECCV18(I: 207-223).
Springer DOI 1810
BibRef

Hu, Z., Chen, J., Lu, H., Zhang, T.,
Bayesian Supervised Hashing,
CVPR17(3288-3295)
IEEE DOI 1711
Bayes methods, Binary codes, Estimation, Mathematical model, Optimization, Semantics, Training, data BibRef

Da, C.[Cheng], Xu, S.B.[Shi-Biao], Ding, K.[Kun], Meng, G.F.[Gao-Feng], Xiang, S.M.[Shi-Ming], Pan, C.H.[Chun-Hong],
AMVH: Asymmetric Multi-Valued hashing,
CVPR17(898-906)
IEEE DOI 1711
Binary codes, Databases, Dictionaries, Encoding, Linear programming, Optimization. BibRef

Zhuang, N., Ye, J., Hua, K.A.,
DLSTM approach to video modeling with hashing for large-scale video retrieval,
ICPR16(3222-3227)
IEEE DOI 1705
LSTM: long short-term memory Neural Network. Computational modeling, Data models, Feature extraction, Quantization (signal), Semantics, Speech recognition, Training BibRef

Wang, X.F.[Xiao-Fang], Shi, Y.[Yi], Kitani, K.M.[Kris M.],
Deep Supervised Hashing with Triplet Labels,
ACCV16(I: 70-84).
Springer DOI 1704
BibRef

Yang, G.Q.[Guan-Qun], Xu, X.S.[Xin-Shun], Guo, S.Q.[Shan-Qing], Wang, X.L.[Xiao-Lin],
M3LH: Multi-modal Multi-label Hashing for Large Scale Data Search,
MMMod17(I: 201-213).
Springer DOI 1701
BibRef

Ong, E.J.[Eng-Jon], Bober, M.[Miroslaw],
Improved Hamming Distance Search Using Variable Length Hashing,
CVPR16(2000-2008)
IEEE DOI 1612
BibRef

Kalantidis, Y.[Yannis], Kennedy, L.[Lyndon], Nguyen, H.[Huy], Mellina, C.[Clayton], Shamma, D.A.[David A.],
LOH and Behold: Web-Scale Visual Search, Recommendation and Clustering Using Locally Optimized Hashing,
WebScale16(I: 702-718).
Springer DOI 1611
BibRef

Weng, Z.Y.[Zhen-Yu], Yao, W.B.[Wen-Bin], Sun, Z.Q.[Zi-Qiang], Zhu, Y.S.[Yue-Sheng],
Asymmetric distance for spherical hashing,
ICIP16(206-210)
IEEE DOI 1610
Binary codes BibRef

Li, Y.Q.[Yun-Qiang], Zha, Y.F.[Yu-Fei], Li, H.Y.[Huan-Yu], Zhang, S.J.[Sheng-Jie], Tao, K.[Ku], Yuan, Y.[Yang],
Learning weighted hashing on local structured data,
ICIP16(211-215)
IEEE DOI 1610
Binary codes BibRef

Wang, Z.[Zheng], Liang, T.[Ti],
Shapelearner: Towards Shape-based Visual Knowledge Harvesting,
ISPRS16(B3: 789-796).
DOI Link 1610
BibRef

Gholami, B., Hajisami, A.,
Kernel auto-encoder for semi-supervised hashing,
WACV16(1-8)
IEEE DOI 1606
Binary codes BibRef

Mukherjee, L.[Lopamudra], Ravi, S.N.[Sathya N.], Ithapu, V.K.[Vamsi K.], Holmes, T.[Tyler], Singh, V.[Vikas],
An NMF Perspective on Binary Hashing,
ICCV15(4184-4192)
IEEE DOI 1602
Benchmark testing BibRef

Ding, K.[Kun], Huo, C.L.[Chun-Lei], Fan, B.[Bin], Pan, C.H.[Chun-Hong],
kNN Hashing with Factorized Neighborhood Representation,
ICCV15(1098-1106)
IEEE DOI 1602
Binary codes BibRef

Zeng, Z.Q.[Zi-Qian], Wu, Z.[Zimevg], Ng, W.W.Y.,
Projection selection hashing,
ICWAPR15(185-191)
IEEE DOI 1511
Fourier analysis BibRef

Jiang, K.[Ke], Que, Q.C.[Qi-Chao], Kulis, B.[Brian],
Revisiting kernelized locality-sensitive hashing for improved large-scale image retrieval,
CVPR15(4933-4941)
IEEE DOI 1510
BibRef

Fuentes-Pineda, G.[Gibran], Meza-Ruíz, I.V.[Ivan Vladimir],
Sampled Weighted Min-Hashing for Large-Scale Topic Mining,
MCPR15(203-213).
Springer DOI 1506
BibRef

Bondugula, S.[Sravanthi], Davis, L.S.[Larry S.],
Hierarchical Spherical Hashing for Compressing High Dimensional Vectors,
WACV15(558-565)
IEEE DOI 1503
Art; Binary codes; Convergence; Force; Training; Training data; For retrieval operations. BibRef

Feng, S.Y.[Shao-Yong], Tian, X.[Xing], Ng, W.W.Y.[Wing W.Y.],
Re-ranking with two-level hashing,
ICWAPR14(98-103)
IEEE DOI 1412
Artificial neural networks BibRef

Wang, Q.F.[Qi-Fan], Si, L.[Luo], Zhang, D.[Dan],
Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval,
ECCV14(III: 378-392).
Springer DOI 1408
BibRef

Trad, M.R.[Mohamed Riadh], Joly, A.[Alexis], Boujemaa, N.[Nozha],
Distributed KNN-graph approximation via hashing,
ICMR12(43).
DOI Link 1301
K-Nearest Neighbor Graph (K-NNG) of large and high dimensional datasets BibRef

Liu, X.L.[Xiang-Long], Mu, Y.D.[Ya-Dong], Lang, B.[Bo], Chang, S.F.[Shih-Fu],
Compact hashing for mixed image-keyword query over multi-label images,
ICMR12(18).
DOI Link 1301
locality-sensitive hashing (LSH) BibRef

Yang, H.[Heng], Wang, Q.[Qing], He, Z.C.[Zhou-Can],
Indexing Large Visual Vocabulary by Randomized Dimensions Hashing for High Quantization Accuracy: Improving the Object Retrieval Quality,
CAIP09(783-790).
Springer DOI 0909
BibRef

He, J.F.[Jun-Feng], Chang, S.F.[Shih-Fu], Radhakrishnan, R.[Regunathan], Bauer, C.[Claus],
Compact hashing with joint optimization of search accuracy and time,
CVPR11(753-760).
IEEE DOI 1106
Finding approximate nearest neighborhoods. Large scale search. BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Deep Hashing for Large Scale Systems .