Bridging the gap: dual perception attention and local-global similarity fusion for cross-modal image-text matching

Author:

Shui Xiangyu,Zhu ZhenfangORCID,Liu Yun,Pei Hongli,Li Kefeng,Zhang Huaxiang

Funder

National Social Science Fund of China

Publisher

Springer Science and Business Media LLC

Reference48 articles.

1. Wang B, Yang Y , Xu X , Hanjalic A , Shen HT (2017) Adversarial cross-modal retrieval. In: Proceedings of the 25th ACM international conference on multimedia, pp 154–162

2. Faghri F , Fleet DJ , Kiros JR , Fidler S (2017) Vse++: Improving visual-semantic embeddings with hard negatives. arXiv preprint arXiv:1707.05612

3. Dutton B (2020) Adversarial canonical correlation analysis. arXiv preprint arXiv:2005.10349

4. Kiros R , Salakhutdinov R , Zemel RS (2014) Unifying visual-semantic embeddings with multimodal neural language models. arXiv preprint arXiv:1411.2539

5. Simonyan K , Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556

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