A Review on Deep Learning Techniques for Classifying Images and Generating Captions
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2746-3_54
Reference10 articles.
1. Wittscher L, Diers J, Pigorsch C (2022) Improving image classification robustness using self‐supervision Stat 11(1). https://doi.org/10.1002/sta4.455
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3. Takahashi R, Matsubara T, Uehara K (2020) Data augmentation using random image cropping and patching for deep CNNs. IEEE Trans Circuits Syst Video Technol 30(9):2917–2931. https://doi.org/10.1109/TCSVT.2019.2935128
4. Sahrial Alam M, Rahman MS, Hosen MI, Mubin KA, Hossen S, Mridha MF (2021) Comparison of different CNN model used as encoders for image captioning. In: 2021 International conference on data analytics for business and industry (ICDABI), pp 523–526. https://doi.org/10.1109/ICDABI53623.2021.9655846
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