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
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
BibRef
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.[Hanyu],
He, J.[Junjun],
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
BibRef
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
BibRef
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
BibRef
Kong, J.[Jie],
Sun, Q.[Quansen],
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Mandal, D.[Devraj],
Rao, P.,
Biswas, S.[Soma],
Semi-Supervised Cross-Modal Retrieval With Label Prediction,
MultMed(22), No. 9, September 2020, pp. 2345-2353.
IEEE DOI
2008
BibRef
And:
Label Prediction Framework For Semi-Supervised Cross-Modal Retrieval,
ICIP20(2311-2315)
IEEE DOI
2011
BibRef
And: A1, A3, Only:
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
BibRef
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.[Qibing],
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.[Xiansheng],
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
BibRef
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.[Liqiang],
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
BibRef
Cheng, Q.[Qimin],
Huang, H.Y.[Hai-Yan],
Ye, L.[Lan],
Fu, P.[Peng],
Gan, D.[Deqiao],
Zhou, Y.[Yuzhuo],
A Semantic-Preserving Deep Hashing Model for Multi-Label Remote
Sensing Image Retrieval,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link
2112
BibRef
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
BibRef
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
BibRef
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
Liang, Y.C.[Yu-Chen],
Pan, Y.[Yan],
Lai, H.[Hanjiang],
Liu, W.[Wei],
Yin, J.[Jian],
Deep Listwise Triplet Hashing for Fine-Grained Image Retrieval,
IP(31), 2022, pp. 949-961.
IEEE DOI
2201
Training, Codes, Image retrieval, Task analysis, Loss measurement,
Dogs, Birds, Deep hashing, listwise ranking, triplet loss
BibRef
Hemati, S.[Sobhan],
Mehdizavareh, M.H.[Mohammad Hadi],
Babaie, M.[Morteza],
Kalra, S.[Shivam],
Tizhoosh, H.R.,
A Simple Supervised Hashing Algorithm Using Projected Gradient and
Oppositional Weights,
ICIP21(2748-2752)
IEEE DOI
2201
Training, Hash functions, Thresholding (Imaging), Image processing,
Image retrieval, Binary codes, Linear programming,
Image Search
BibRef
Li, S.[Shuyan],
Li, X.[Xiu],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
Self-supervised Video Hashing via Bidirectional Transformers,
CVPR21(13544-13553)
IEEE DOI
2111
Training, Hash functions, Visualization,
Correlation, Benchmark testing, Transformers
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
Li, S.,
Chen, Z.,
Lu, J.,
Li, X.,
Zhou, J.,
Neighborhood Preserving Hashing for Scalable Video Retrieval,
ICCV19(8211-8220)
IEEE DOI
2004
binary codes, cryptography, feature extraction,
image reconstruction, image sequences,
Standards
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.[Qichao],
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 .