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The extraction of useful deep features is important for many computer vision tasks.
J. Bromley, I. Guyon, Y. LeCun, S. Eduard, R. Shah, Signature Verification using a ”Siamese” Time Delay Neural Network, NIPS, pp. 737–744, 1994
1994
Earlier work this paper cites.
Y. LeCun, L. Bottou and Y. Bengio, P. Haffner, Gradient-based learning applied to document recognition, Proceedings of the IEEE, Vol. 86, No.11 pp.2278-2324, 1998
1998
Earlier work this paper cites.
S. Chopra, R. Hadsell, Y. LeCun, Learning a similarity metric discriminatively, with application to face verification, CVPR, pp. 539–546, 2005
2005
Earlier work this paper cites.
R. Hadsell, S. Chopra, Y. LeCun, Dimensionality reduction by learning an invariant mapping, CVPR, pp.1735–1742, 2006
2006
Earlier work this paper cites.
C. D. Manning, P. Raghavan, H. Schütze, Introduction to Information Retrieval, Cambridge University Press, 2008
2008
Earlier work this paper cites.
Large scale online learning of image similarity through ranking, G. Chechik, V. Sharma, U. Shalit, S. Bengio, JMLR, pp.1109–1135, 2010
2010
Earlier work this paper cites.
C. Wah, S. Branson, P. Welinder, P. Perona, S. Belongie, The Caltech-UCSD Birds-200-2011 Dataset, California Institute of Technology, CNS-TR-2011-001, 2011
2011
Earlier work this paper cites.
H. Jegou, M. Douze, C. Schmid, Product Quantization for Nearest Neighbor Search, IEEE Trans. PAMI, Vol. 33, No.1 pp.117-128, 2011
2011
Earlier work this paper cites.
A. Krizhevsky, I. Sutskever, G. E. Hinton ImageNet Classification with Deep Convolutional Neural Networks, NIPS, 1097–1105, 2012
2012
Earlier work this paper cites.
J. Krause, M. Stark, J. Deng, Fei-Fei Li, 3D Object Representations for Fine-Grained Categorization, 4th International IEEE Workshop on 3D Representation and Recognition, pp.554-561, 2013
2013
Earlier work this paper cites.
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, T. Darrell, DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition, ICML, pp.647–655, 2014
2014
Earlier work this paper cites.
A. S. Razavian, H. Azizpour, J. Sullivan, S. Carlsson, CNN Features Off-the-Shelf: An Astounding Baseline for Recognition, CVPR Workshops, pp.512–519, 2014
2014
Cited alongside, same era.
J. Wan, D. Wang, S. H. Hoi, P. Wu, J. Zhu, Y. Zhang, J. Li, Deep Learning for Content-Based Image Retrieval: A Comprehensive Study, ACM Multimedia, pp.157–166, 2014
2014
Cited alongside, same era.
A. Babenko, Artem A. Slesarev, A. Chigorin, V. Lempitsky, Neural Codes for Image Retrieval, ECCV, pp.584–599, 2014
2014
Cited alongside, same era.
Y. Taigman, M. Yang, M. Ranzato, L. Wolf, DeepFace: Closing the Gap to Human-Level Performance in Face Verification, CVPR, pp. 1701-1708, 2014
2014
Cited alongside, same era.
Q. Qian, R. Jing, S. Zhu, Y. Lin, Fine-grained visual categorization via multi-stage metric learning, CVPR, pp.3716–3724, 2015
2015
Later among the works it cites.
E. Hoffer and N. Ailon, Deep metric learning using triplet network, in ICLR Workshop, 2015
2015
Later among the works it cites.
T.-Y. Lin, Y. Cui, S. Belongie, and J. Hays, Learning deep representations for ground-to-aerial geolocalization, in CVPR, 2015, pp. 5007–5015
2015
Later among the works it cites.
H. O. Song, Y. Xiang, S. Jegelka, S. Savarese, Deep Metric Learning via Lifted Structured Feature Embedding, CVPR, pp.4004–4012, 2016
2016
Later among the works it cites.
K. Sohn, Improved Deep Metric Learning with Multi-class N-pair Loss Objective, NIPS, pp.1857–1865, 2016
2016
Later among the works it cites.
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2014
Cited alongside, same era.
Y. Liu, Y. Guo, S. Wu, Song, M. S. Lew, DeepIndex for Accurate and Efficient Image Retrieval, ICMR, pp. 43–50, 2015
2015
Cited alongside, same era.
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, Fei-Fei Li, ImageNet Large Scale Visual Recognition Challenge, IJCV, Vol. 115, No. 3, pp.211-252, 2015
2015
Cited alongside, same era.
S. Bell, K. Bala, Learning Visual Similarity for Product Design with Convolutional Neural Networks, SIGGRAPH, 2015
2015
Cited alongside, same era.
F. Schroff, Florian, D. Kalenichenko, J. Philbin, FaceNet: A Unified Embedding for Face Recognition and Clustering, CVPR, pp.815–823, 2015
2015
Cited alongside, same era.
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich, Going Deeper with Convolutions, CVPR, pp.1–9, 2015
2015
Cited alongside, same era.
K. Simonyan, A. Zisserman, Very Deep Convolutional Networks for Large-Scale Image Recognition, ICLR, 2015
2015
Cited alongside, same era.
K. He, X. Zhang, S. Ren, J. Sun, Deep Residual Learning for Image Recognition, CVPR, pp. 770–778, 2016
2016
Later among the works it cites.
L. Wei, Q. Huang, D. Ceylan, E. Vouga, H. Li, Dense Human Body Correspondences Using Convolutional Networks, CVPR, pp.1544–1553, 2016
2016
Later among the works it cites.
Q. Yu, F. Liu, Y.-Z. Song, T. Xiang, T. M. Hospedales, and C.-C. Loy, Sketch me that shoe, in CVPR, 2016, pp. 799–807
2016
Later among the works it cites.
P. Sangkloy, N. Burnell, C. Ham, and J. Hays, The sketchy database: Learning to retrieve badly drawn bunnies, ACM TOG, vol. 35, no. 4, pp. 119:1–119:12, 2016
2016
Later among the works it cites.
. L. Castrejon, Y. Aytar, C. Vondrick, H. Pirsiavash, and A. Torralba, Learning aligned cross-modal representations from weakly aligned data, in CVPR, 2016, pp. 2940–2949
2016
Later among the works it cites.
Hyun Oh Song, S. Jegelka, V. Rathod, K. Murphy, Deep Metric Learning via Facility Location CVPR, pp.2206–2214, 2017
2017
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