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Text-visual (or called semantic-visual) embedding is a central problem in vision-language research.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
Canonical correlation analysis: An overview with application to learning methods
D. R. Hardoon, S. Szedmak, and J. Shawe-Taylor · 2004
Earlier work this paper cites.
Distance metric learning for large margin nearest neighbor classification
K. Q. Weinberger and L. K. Saul · 2009
Earlier work this paper cites.
Large scale online learning of image similarity through ranking
U. Shalit G. Chechik, V. Sharma and S. Bengio · 2010
Earlier work this paper cites.
Metric learning to rank
Brian McFee and Gert R Lanckriet · 2010
Earlier work this paper cites.
Collecting image annotations using amazon’s mechanical turk
Young P. Hodosh M. Hockenmaier J. Rashtchian, C · 2010
Earlier work this paper cites.
Relative attributes
D. Parikh and K. Grauman · 2011
Earlier work this paper cites.
Cross-modal retrieval with correspondence autoencoder
X. Wang F. Feng and R. Li · 2014
Earlier work this paper cites.
Learning fine-grained image similarity with deep ranking
T. Leung C. Rosenberg J. Wang J. Philbin B. Chen J. Wang, Y. Song and Y. Wu · 2014
Earlier work this paper cites.
Deep fragment embeddings for bidirectional image sentence mapping
Andrej Karpathy, Armand Joulin, and Li F Fei-Fei · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Dropout: A simple way to prevent neural networks from overfitting
Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov Nitish Srivastava, Geoffrey Hinton · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Multi-label cross-modal retrieval
V. Ranjan, N. Rasiwasia, and CV Jawahar · 2015
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Deep correlation for matching images and text
Adversarial cross-modal retrieval
X. Xu A. Hanjalic B. Wang, Y. Yang and H. T. Shen · 2017
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Deep coupled metric learning for cross-modal matching
V. E. Liong, J. Lu, Yap-Peng Tan, and J. Zhou · 2017
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Unified deep supervised domain adaptation and generalization
Saeid Motiian, Marco Piccirilli, Donald A. Adjeroh, and Gianfranco Doretto · 2017
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Ccl:cross-modal correlation learning with multi-grained fusion by hierarchical network
X. Huang Y. Peng, J. Qi and Yuan Y · 2017
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Learning word vectors for 157 languages
E. Grave, P. Bojanowski, P. Gupta, A. Joulin, and T. Mikolov · 2018
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Look, imagine and match: Improving textual-visual cross-modal retrieval with generative models
Jiuxiang Gu, Jianfei Cai, Shafiq R Joty, Li Niu, and Gang Wang · 2018
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Fei Yan and Krystian Mikolajczyk · 2015
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Order-embeddings of images and language
S. Fidler I. Vendrov, R. Kiros and R. Urtasun · 2016
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Deep residual learning for image recognition
S. Ren K. He, X. Zhang and J. Sun · 2016
Cited alongside, same era.
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
P. Barham E. Brevdo Z. Chen C. Citro G. S. Corrado A. Davis J. Dean M. Devin et al. M. Abadi, A. Agarwal · 2016
Cited alongside, same era.
Cross modal retrieval using common vector space
Shagan Sah, Sabarish Gopalakrishnan, and Ray Ptucha
Cited in the paper.
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Webly supervised joint embedding for cross-modal image-text retrieval
Niluthpol Chowdhury Mithun, Rameswar Panda, Evangelos E Papalexakis, and Amit K Roy-Chowdhury · 2018
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Revisiting cross modal retrieval
Shah Nawaz, Muhammad Kamran Janjua, Alessandro Calefati, and Ignazio Gallo · 2018
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Cross modal retrieval using common vector space
R. Ptucha. S. Sah, S. Gopalakrishnan · 2018
Later among the works it cites.