MGAN: Attempting a Multimodal Graph Attention Network for Remote Sensing Cross-Modal Text-Image Retrieval
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9243-0_27
Reference22 articles.
1. Li, Y., Ma, J., Zhang, Y.: Image retrieval from remote sensing big data: a survey. Inf. Fusion 67, 94–115 (2021)
2. Lee, K.H., Chen, X., Hua, G., et al.: Stacked cross attention for image-text matching. In: Proceedings of the European Conference on Computer Vision (ECCV) (pp. 201–216) (2018)
3. Wang, Z., Liu, X., Li, H., et al.: Camp: Cross-modal adaptive message passing for text-image retrieval. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 5764–5773) (2019)
4. Li, K., Zhang, Y., Li, K., et al.: Visual semantic reasoning for image-text matching. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 4654–4662) (2019)
5. Wang, S., Wang, R., Yao, Z., et al.: Cross-modal scene graph matching for relationship-aware image-text retrieval. In: Proceedings of the IEEE/CVF Winter Conference on Applications Of Computer Vision (pp. 1508–1517) (2020)
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