An Investigation of CNN-CARU for Image Captioning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36670-3_2
Reference38 articles.
1. Al-Jamal, A. Z., Bani-Amer, M. J., & Aljawarneh, S. (2022). Image captioning techniques: A review. In 2022 International Conference on Engineering & MIS (ICEMIS). IEEE. https://doi.org/10.1109/icemis56295.2022.9914173
2. Aslam, A., & Curry, E. (2021). A survey on object detection for the internet of multimedia things (IoMT) using deep learning and event-based middleware: Approaches, challenges, and future directions. Image and Vision Computing, 106, 104095. https://doi.org/10.1016/j.imavis.2020.104095
3. Bai, S., & An, S. (2018). A survey on automatic image caption generation. Neurocomputing, 311, 291–304. https://doi.org/10.1016/j.neucom.2018.05.080
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5. Chan, K. H., & Im, S. K. (2022). Data stream classification by using stacked CARU networks. In 2022 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE. https://doi.org/10.1109/bigcomp54360.2022.00087
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