Image Captions and Hashtags Generation Using Deep Learning Approach
Author:
Affiliation:
1. Gelişim University,Department Of Electrical Electronic Engineering,Istanbul,Turkey
2. Zarqa University,Faculty of Information Technology,Zarqa,Jordan
3. Independent Researcher
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10050443/10050425/10050455.pdf?arnumber=10050455
Reference23 articles.
1. Very deep convolutional networks for large-scale image recognition;simonyan;3rd International Conference on Learning Representations ICLR 2015 - Conference Track Proceedings,2015
2. Assertive Vision Using Deep Learning and LSTM
3. Image Caption Generator using CNN-LSTM Model;teja;International Research Journal of Engineering and Technology,2021
4. Image Hashtag Recommendations Using a Voting Deep Neural Network and Associative Rules Mining Approach
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2. Improving Image Captioning Using Deep Convolutional Neural Network;2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI);2023-12-27
3. A Hybrid Transfer Learning Architecture Based Image Captioning Model for Assisting Visually Impaired;2023 IEEE 3rd Applied Signal Processing Conference (ASPCON);2023-11-24
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