A novel method for image captioning using multimodal feature fusion employing mask RNN and LSTM models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08448-7.pdf
Reference24 articles.
1. Chavan AG, Rajpurohit K, Singh A, Kumar R, Bhonsle M (2021) Image captioning model for mobile app. IJCRT 9(11):229–231
2. Degadwala S, Vyas D, Biswas H, Chakraborty U, Saha S (2021) Image captioning using inception V3 transfer learning model. 2021 6th Int Conf Commun Electr Syst (ICCES), pp 1103–1108, https://doi.org/10.1109/ICCES51350.2021.9489111.
3. Fouladi S, Safaei AA, Mammone N et al (2022a) Efficient deep neural networks for classification of alzheimer’s disease and mild cognitive impairment from scalp EEG recordings. CognComput 14:1247–1268. https://doi.org/10.1007/s12559-022-10033-3
4. Fouladi S, Safaei AA, Arshad NI et al (2022b) The use of artificial neural networks to diagnose Alzheimer’s disease from brain images. Multimed Tools Appl 81:37681–37721. https://doi.org/10.1007/s11042-022-13506-7
5. Funckes N, Carrier E and Wolffe G (2021) An augmented image captioning model: incorporating hierarchical image information. 2021 20th IEEE Int Conf Mach Learn Appl (ICMLA), 2021, pp. 1608–1614, https://doi.org/10.1109/ICMLA52953.2021.00257
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