ACF-net: appearance-guided content filter network for video captioning-Reference-Cited by-同舟云学术

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ACF-net: appearance-guided content filter network for video captioning

Published:2023-09-05 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Li Min,Liu Dongmei,Liu Chunsheng,Chang Faliang^ORCID,Wang Wenqian,Wang Bin

Funder

National Natural Science Foundation of China

National Key R & D Program of China

Shandong Provincial Key Research and Development Program

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16580-7.pdf

Reference63 articles.

1. Aafaq N, Akhtar N, Liu W, et al. (2019) Spatio-temporal dynamics and semantic attribute enriched visual encoding for video captioning. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 12,487–12,496

2. Anderson P, He X, Buehler C, et al. (2018) Bottom-up and top-down attention for image captioning and visual question answering. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 6077–6086

3. Bai Y, Wang J, Long Y, et al. (2021) Discriminative latent semantic graph for video captioning. In: Proceedings of the 29th ACM international conference on multimedia, pp 3556–3564

4. Barbu A, Bridge A, Burchill Z, et al. (2012) Video in sentences out. arXiv:1204.2742

5. Carreira J, Zisserman A (2017) Quo vadis, action recognition? a new model and the kinetics dataset. In: proceedings of the IEEE conference on computer vision and pattern recognition, pp 6299–6308

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