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Image Aesthetic Assessment: A Comparative Study of Hand-Crafted & Deep Learning Models

  • Published:2022 Issue: Volume:10 Page:101770-101789
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Anwar Abbas1,Kanwal Saira2,Tahir Muhammad3ORCID,Saqib Muhammad4,Uzair Muhammad2ORCID,Rahmani Mohammad Khalid Imam3ORCID,Ullah Habib5ORCID

Affiliation:

1. Department of Computer Science, Abdul Wali Khan University Mardan (AWKUM), Mardan, Khyber Pakhtunkhwa, Pakistan

2. Department of Electrical Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan

3. College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia

4. Imaging and Computer Vision Group, Data61-CSIRO, Broadway, NSW, Australia

5. Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Are Computers Able to Understand Art?;Intelligent Systems Reference Library;2024

2. High-Performance Intelligent System for Real-Time Medical Image Using Deep Learning and Augmented Reality;IoT Based Control Networks and Intelligent Systems;2023-11-28
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