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Recently, caption generation with an encoder-decoder framework has been extensively studied and applied in different domains, such as image captioning, code captioning, and so on.
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Summarizing source code using a neural attention model
S. Iyer, I. Konstas, A. Cheung, and L. Zettlemoyer · 2016
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Review networks for caption generation
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Q. V. Le, N. Jaitly, and G. E. Hinton · 2015
Cited alongside, same era.
Deep captioning with multimodal recurrent neural networks (m-rnn)
J. Mao, W. Xu, Y. Yang, J. Wang, Z. Huang, and A. Yuille · 2015
Cited alongside, same era.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Cider: Consensus-based image description evaluation
R. Vedantam, C. L. Zitnick, and D. Parikh · 2015
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Show and tell: a neural image caption generator
O. Vinyals, A. Toshev, S. Bengio, and D. Erhan · 2015
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Show, attend and tell: Neural image caption generation with visual attention
K. Xu, J. Ba, R. Kiros, K. Cho, A. C. Courville, R. Salakhutdinov, R. S. Zemel, and Y. Bengio · 2015
Cited alongside, same era.
Spice: Semantic propositional image caption evaluation
P. Anderson, B. Fernando, M. Johnson, and S. Gould · 2016
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Z. Yang, Y. Yuan, Y. Wu, W. W. Cohen, and R. Salakhutdinov · 2016
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Boosting image captioning with attributes
T. Yao, Y. Pan, Y. Li, Z. Qiu, and T. Mei · 2016
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Image captioning with semantic attention
Q. You, H. Jin, Z. Wang, C. Fang, and J. Luo · 2016
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Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning
L. Chen, H. Zhang, J. Xiao, L. Nie, J. Shao, W. Liu, and T.-S. Chua · 2017
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Deep visual-semantic alignments for generating image descriptions
A. Karpathy and L. F. Fei · 2017
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Text-guided attention model for image captioning
J. Mun, M. Cho, and B. Han · 2017
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Learning to guide decoding for image captioning
W. Jiang, L. Ma, X. Chen, H. Zhang, and W. Liu · 2018
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