Visual contextual relationship augmented transformer for image captioning
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Guangxi Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05416-y.pdf
Reference58 articles.
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2. Li G, Zhu L, Liu P, Yang Y (2019) Entangled transformer for image captioning. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 8928–8937
3. Ji J, Luo Y, Sun X, Chen F, Luo G, Wu Y, Gao Y, Ji R (2021) Improving image captioning by leveraging intra-and inter-layer global representation in transformer network. In: Proceedings of the AAAI conference on artificial intelligence, pp 1655–1663
4. Cornia M, Stefanini M, Baraldi L, Cucchiara R (2020) Meshed-memory transformer for image captioning. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 10578–10587
5. Luo Y, Ji J, Sun X, Cao L, Wu Y, Huang F, Lin C-W, Ji R (2021) Dual-level collaborative transformer for image captioning. In: Proceedings of the AAAI conference on artificial intelligence, pp 2286–2293
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