Weakly supervised grounded image captioning with semantic matching-Reference-Cited by-同舟云学术

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Weakly supervised grounded image captioning with semantic matching

Published:2024-03 Issue:5 Volume:54 Page:4300-4318
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Du Sen,Zhu Hong,Lin Guangfeng,Liu Yuanyuan,Wang Dong,Shi Jing,Wu Zhong

Funder

NSFC

Key Research and Development Program of Shaanxi

Key Lab. of Manufacturing Equipment of Shaanxi Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10489-024-05389-y.pdf

Reference96 articles.

1. Krishna R, Zhu Y, Groth O, Johnson J, Hata K, Kravitz J, Chen S, Kalantidis Y, Li L-J, Shamma DA et al (2017) Visual genome: Connecting language and vision using crowdsourced dense image annotations. Int J Comput Vis 123(1):32–73

2. Aditya S, Yang Y, Baral C, Aloimonos Y, Fermüller C (2018) Image understanding using vision and reasoning through scene description graph. Comput Vis Image Understanding 173:33–45

3. Farhadi A, Hejrati M, Sadeghi MA, Young P, Rashtchian C, Hockenmaier J, Forsyth D (2010) Every picture tells a story: Generating sentences from images. In: European conference on computer vision, pp 15–29. Springer

4. Kulkarni G, Premraj V, Ordonez V, Dhar S, Li S, Choi Y, Berg AC, Berg TL (2013) Babytalk: Understanding and generating simple image descriptions. IEEE Trans Pattern Anal Mach Intell 35(12):2891–2903

5. Hendricks LA, Burns K, Saenko K, Darrell T, Rohrbach A (2018) Women also snowboard: Overcoming bias in captioning models. In: Proceedings of the european conference on computer vision (ECCV), pp 771–787

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1. A rich RGBD images captioning for scene understanding;Signal, Image and Video Processing;2024-08-14

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