ASCII Art Classification Model by Transfer Learning and Data Augmentation

• Material Type: 図書
• Title: ASCII Art Classification Model by Transfer Learning and Data Augmentation
• Author/Editor: フジサワ, アキラ; 松本, 和幸; オオタ, カズキ; 吉田, 稔; 北, 研二
• Author Heading: フジサワ, アキラ フジサワ, アキラ; 松本, 和幸; オオタ, カズキ オオタ, カズキ; 吉田, 稔; 北, 研二
• Publication, Distribution, etc.: IOS Press
• Publication Date: 2020-10-01
• Publication Date (W3CDTF): 2020-10-01
• Periodical title: Frontiers in Artificial Intelligence and Applications
• No. or year of volume/issue: 331
• Volume: 331
• Pages: 608-618
• ISSN (Periodical Title): ISSN : 09226389; ISSN : 18798314
• Text Language Code: und
• Subject Heading: ASCII art; transfer learning; fine tuning; data augmentation
• Target Audience: 一般
• Format (IMT): application/pdf
• Source: fulltext; https://tokushima-u.repo.nii.ac.jp/record/2008837/files/faia_331_608.pdf
• Access Restrictions: インターネット公開
• Rights (production): This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0)(https://creativecommons.org/licenses/by-nc/4.0/).
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 徳島大学 : 徳島大学機関リポジトリ

• Summary, etc.: In this study, we propose an ASCII art category classification method based on transfer learning and data augmentation. ASCII art is a form of nonverb...