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Learning to hash has been widely applied to approximate nearest neighbor search for large-scale multimedia retrieval, due to its computation efficiency and retrieval quality.
Similarity search in high dimensions via hashing
A. Gionis, P. Indyk, R. Motwani, et al · 1999
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Content-based image retrieval at the end of the early years
A. W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain · 2000
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A fast learning algorithm for deep belief nets
G. E. Hinton, S. Osindero, and Y.-W. Teh · 2006
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Content-based multimedia information retrieval: State of the art and challenges
M. S. Lew, N. Sebe, C. Djeraba, and R. Jain · 2006
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Greedy layer-wise training of deep networks
Y. Bengio, P. Lamblin, D. Popovici, and H. Larochelle · 2007
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Learning a nonlinear embedding by preserving class neighbourhood structure
R. Salakhutdinov and G. E. Hinton · 2007
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Nus-wide: A real-world web image database from national university of singapore
T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, and Y.-T. Zheng · 2009
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Learning to hash with binary reconstructive embeddings
B. Kulis and T. Darrell · 2009
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Spectral hashing
Y. Weiss, A. Torralba, and R. Fergus · 2009
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Maximum likelihood in cost-sensitive learning: Model specification, approximations, and upper bounds
J. P. Dmochowski, P. Sajda, and L. C. Parra · 2010
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Rectified linear units improve restricted boltzmann machines
V. Nair and G. E. Hinton · 2010
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Iterative quantization: A procrustean approach to learning binary codes
Y. Gong and S. Lazebnik · 2011
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Product quantization for nearest neighbor search
H. Jegou, M. Douze, and C. Schmid · 2011
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Hashing with graphs
W. Liu, J. Wang, S. Kumar, and S.-F. Chang · 2011
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Minimal loss hashing for compact binary codes
M. Norouzi and D. M. Blei · 2011
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Numerical continuation methods: an introduction
E. L. Allgower and K. Georg · 2012
Cited alongside, same era.
Fast search in hamming space with multi-index hashing
D. J. Fleet, A. Punjani, and M. Norouzi · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Supervised hashing with kernels
W. Liu, J. Wang, R. Ji, Y.-G. Jiang, and S.-F. Chang · 2012
Cited alongside, same era.
Hamming distance metric learning
M. Norouzi, D. M. Blei, and R. R. Salakhutdinov · 2012
Cited alongside, same era.
Semi-supervised hashing for large-scale search
J. Wang, S. Kumar, and S.-F. Chang · 2012
Cited alongside, same era.
Circulant binary embedding
F. X. Yu, S. Kumar, Y. Gong, and S.-F. Chang · 2014
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Supervised hashing with latent factor models
P. Zhang, W. Zhang, W.-J. Li, and M. Guo · 2014
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Deep hashing for compact binary codes learning
V. Erin Liong, J. Lu, G. Wang, P. Moulin, and J. Zhou · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Simultaneous feature learning and hash coding with deep neural networks
H. Lai, Y. Pan, Y. Liu, and S. Yan · 2015
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ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
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Y. Bengio, A. Courville, and P. Vincent · 2013
Cited alongside, same era.
Learning binary codes for high-dimensional data using bilinear projections
Y. Gong, S. Kumar, H. Rowley, S. Lazebnik, et al · 2013
Cited alongside, same era.
Hash bit selection: a unified solution for selection problems in hashing
X. Liu, J. He, B. Lang, and S.-F. Chang · 2013
Cited alongside, same era.
Decaf: A deep convolutional activation feature for generic visual recognition
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell · 2014
Cited alongside, same era.
Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
Cited alongside, same era.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Cited alongside, same era.
Supervised discrete hashing
F. Shen, C. Shen, W. Liu, and H. Tao Shen · 2015
Later among the works it cites.
Deep semantic ranking based hashing for multi-label image retrieval
F. Zhao, Y. Huang, L. Wang, and T. Tan · 2015
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Binarynet: Training deep neural networks with weights and activations constrained to +1 or -1
M. Courbariaux and Y. Bengio · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Feature learning based deep supervised hashing with pairwise labels
W.-J. Li, S. Wang, and W.-C. Kang · 2016
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Deep supervised hashing for fast image retrieval
H. Liu, R. Wang, S. Shan, and X. Chen · 2016
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Deep hashing network for efficient similarity retrieval
H. Zhu, M. Long, J. Wang, and Y. Cao · 2016
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Partial hash update via hamming subspace learning
C. Ma, I. W. Tsang, F. Peng, and C. Liu · 2017
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