CRUR: coupled-recurrent unit for unification, conceptualization and context capture for language representation - a generalization of bi directional LSTM-Reference-Cited by-同舟云学术

CRUR: coupled-recurrent unit for unification, conceptualization and context capture for language representation - a generalization of bi directional LSTM

Published:2020-11-16 Issue:7 Volume:80 Page:9917-9959
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Sur Chiranjib^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-020-09865-8.pdf

Reference85 articles.

1. Anderson P, He X, Buehler C, Teney D, Johnson M, Gould S, Zhang L (2018) Bottom-up and top-down attention for image captioning and visual question answering. In: CVPR, vol 3, p 6

2. Chen H, Ding G, Lin Z, Zhao S, Han J (2018) Show, observe and tell: attribute-driven attention model for image captioning. In: IJCAI, pp 606–612

3. Chen M, Ding G, Zhao S, Chen H, Liu Q, Han J (2017) Reference based LSTM for image captioning. In: AAAI, pp 3981–3987

4. Chen F, Ji R, Su J, Wu Y, Wu Y (2017) Structcap: Structured semantic embedding for image captioning. In: Proceedings of the 2017 ACM on multimedia conference. ACM, pp 46–54

5. Chen F, Ji R, Sun X, Wu Y, Su J (2018) GroupCap: group-based image captioning with structured relevance and diversity constraints. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1345–1353

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MRRC: multiple role representation crossover interpretation for image captioning with R-CNN feature distribution composition (FDC);Multimedia Tools and Applications;2021-02-18

2. MRECN: mixed representation enhanced (de)compositional network for caption generation from visual features, modeling as pseudo tensor product representation;International Journal of Multimedia Information Retrieval;2020-10-26

3. AACR: Feature Fusion Effects of Algebraic Amalgamation Composed Representation on (De)Compositional Network for Caption Generation for Images;SN Computer Science;2020-07