Automatic image caption generation using deep learning and multimodal attention-Reference-Cited by-同舟云学术

Automatic image caption generation using deep learning and multimodal attention

Published:2022-06 Issue:3-4 Volume:33 Page:
ISSN:1546-4261
Container-title:Computer Animation and Virtual Worlds
language:en
Short-container-title:Computer Animation & Virtual

Author:

Dai Jin¹²³,Zhang Xinyu¹²³^ORCID

Affiliation:

1. Shanghai Key Laboratory of Trustworthy Computing Shanghai China

2. Engineering Research Center for Software/Hardware Co‐design Technology and Application (MoE) Shanghai China

3. School of Software Engineering East China Normal University Shanghai China

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cav.2072

Reference31 articles.

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2. JiangW MaL JiangYG LiuW ZhangT.Recurrent fusion network for image captioning. Proceedings of the European Conference on Computer Vision (ECCV); 2018. p. 499–515.

3. XuK BaJ KirosR ChoK CourvilleA SalakhudinovR et al.Show attend and tell: neural image caption generation with visual attention. Proceedings of the International Conference on Machine Learning; 2015. p. 2048–57.

4. Recurrent models of visual attention;Mnih V;Adv Neural Inf Process Syst(NeurIPS),2014

5. BahdanauD ChoK BengioY.Neural machine translation by jointly learning to align and translate. arXiv e‐prints arXiv:1409.0473 2014.

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