ViCLEVR: a visual reasoning dataset and hybrid multimodal fusion model for visual question answering in Vietnamese
Author:
Funder
Quỹ Đổi mới sáng tạo Vingroup
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00530-024-01394-w.pdf
Reference57 articles.
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2. Li, X., Wu, A., Han, Y.: Complementary spatiotemporal network for video question answering. Multimed. Syst. 28(1), 161–169 (2022). https://doi.org/10.1007/s00530-021-00805-6
3. Rahman, S.A., Boateng, A., Tahseen, S., Hossain, S., Rasel, A.A.: Visual question answering in Bangla to assist individuals with visual impairments extract information about objects and their spatial relationships in images. In: Proceedings of the 9th International Conference on Computer Technology Applications, pp. 86–90 (2023). https://doi.org/10.1145/3605423.3605427
4. Venkatesh, S.G., Biswas, A., Upadrashta, R., Srinivasan, V., Talukdar, P., Amrutur, B.: Spatial reasoning from natural language instructions for robot manipulation. In: Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 11196–11202 (2021). https://doi.org/10.1109/ICRA48506.2021.9560895
5. Das, A., Datta, S., Gkioxari, G., Lee, S., Parikh, D., Batra, D.: Embodied question answering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1–10 (2018). https://doi.org/10.1109/CVPR.2018.00008
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