M3ixup: A multi-modal data augmentation approach for image captioning

Author:

Li Yinan,Ji Jiayi,Sun Xiaoshuai,Zhou Yiyi,Luo Yunpeng,Ji Rongrong

Publisher

Elsevier BV

Reference44 articles.

1. From show to tell: A survey on deep learning-based image captioning;Stefanini;IEEE Trans. Pattern Anal. Mach. Intell.,2022

2. Z. Chen, J. Wu, W. Wang, W. Su, G. Chen, S. Xing, M. Zhong, Q. Zhang, X. Zhu, L. Lu, et al., Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 24185–24198.

3. Exploring diverse in-context configurations for image captioning;Yang;Adv. Neural Inf. Process. Syst.,2024

4. Microsoft coco: Common objects in context;Lin,2014

5. Y. Luo, J. Ji, X. Sun, L. Cao, Y. Wu, F. Huang, C.-W. Lin, R. Ji, Dual-level Collaborative Transformer for Image Captioning, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 35, 2021, pp. 2286–2293.

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