Publisher
Springer Nature Singapore
Reference26 articles.
1. Jun, H., Caiqing, Z., Xiaozhen, L., Dehai, Z.: Survey of research on multimodal fusion technology for deep learning. Comput. Eng. 46(5), 1–11 (2020)
2. Wang, J., Mou, L., Ma, L., Huang, T., Gao, W.: AMSA: adaptive multimodal learning for sentiment analysis. ACM Trans. Multimedia Comput. Commun. Appl. 19 (2023). https://doi.org/10.1145/3572915
3. Khan, A.: Improved multi-lingual sentiment analysis and recognition using deep learning. J. Inf. Sci. 01655515221137270 (2023)
4. Kolluri, J., Das, R.: Intelligent multimodal pedestrian detection using hybrid metaheuristic optimization with deep learning model. Image Vis. Comput. 104628 (2023)
5. Wei, X., Yao, S., Zhao, C., Hu, D., Luo, H., Lu, Y.: Lightweight multimodal feature graph convolutional network for dangerous driving behavior detection. J. Real-Time Image Proc. 20, 15 (2023)