Optimizing CNN Structure to Improve Accuracy of Artwork Artist Classification (예술 작품 아티스트 분류의 정확도 향상을 위한 CNN 구조 최적화)

Ji-Seon Park (박지선); So-Yeon Kim (김소연); Yeo Chan Yoon (윤여찬); Soo Kyun Kim (김수균)

doi:10.9708/jksci.2023.28.09.009

Optimizing CNN Structure to Improve Accuracy of Artwork Artist Classification

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2023, 28(9), pp.9-15
DOI : 10.9708/jksci.2023.28.09.009
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : June 29, 2023
Accepted : August 16, 2023
Published : September 27, 2023

Ji-Seon Park ¹, So-Yeon Kim ¹, Yeo Chan Yoon ¹, Soo Kyun Kim ¹

¹제주대학교

Accredited

ABSTRACT

Metaverse is a modern new technology that is advancing quickly. The goal of this study is to investigate this technique from the perspective of computer vision as well as general perspective. A thorough analysis of computer vision related Metaverse topics has been done in this study. Its history, method, architecture, benefits, and drawbacks are all covered. The Metaverse's future and the steps that must be taken to adapt to this technology are described. The concepts of Mixed Reality (MR), Augmented Reality (AR), Extended Reality (XR) and Virtual Reality (VR) are briefly discussed. The role of computer vision and its application, advantages and disadvantages and the future research areas are discussed.

KEYWORDS

Computer Vision, CNN, Artwork Classification, Fine-tuning, ResNet50

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Optimizing CNN Structure to Improve Accuracy of Artwork Artist Classification

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Optimizing CNN Structure to Improve Accuracy of Artwork Artist Classification

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.