Automated Image Captioning Using Sparrow Search Algorithm With Improved Deep Learning Model-Reference-Cited by-同舟云学术

Automated Image Captioning Using Sparrow Search Algorithm With Improved Deep Learning Model

Published:2023 Issue: Volume:11 Page:104633-104642
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Arasi Munya A.¹^ORCID,Alshahrani Haya Mesfer²,Alruwais Nuha³^ORCID,Motwakel Abdelwahed⁴^ORCID,Ahmed Noura Abdelaziz⁵,Mohamed Abdullah⁶

Affiliation:

1. Department of Computer Science, College of Science and Arts in Rijal Almaa, King Khalid University, Abha, Saudi Arabia

2. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

3. Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, Saudi Arabia

4. Department of Management Information Systems, College of Business Administration Hawtat Bani Tamim, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

5. Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

6. Research Centre, Future University in Egypt, New Cairo, Egypt

Funder

Large Groups Project

Princess Nourah bint Abdulrahman University Researchers

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

King Saud University, Riyadh, Saudi Arabia

Prince Sattam bin Abdulaziz University project

Future University in Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10256186.pdf?arnumber=10256186

Reference28 articles.

1. Automatic Image Captioning Based on ResNet50 and LSTM with Soft Attention

2. Improved Framework using Rider Optimization Algorithm for Precise Image Caption Generation

3. Remote sensing image captioning via Variational Autoencoder and Reinforcement Learning

4. Integration of textual cues for fine-grained image captioning using deep CNN and LSTM

5. Metaheuristics Optimization with Deep Learning Enabled Automated Image Captioning System

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