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Self-Supervised Pre-training of Vision Transformers Using Stable Diffusion-Generated Images
https://ipsj.ixsq.nii.ac.jp/records/235902
https://ipsj.ixsq.nii.ac.jp/records/235902e10606b7-a882-4498-9cd6-5d3bc3d09696
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-Z86-7C-06.pdf (916.3 kB)
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Copyright (c) 2024 by the Information Processing Society of Japan
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| Item type | National Convention(1) | |||||||||
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| 公開日 | 2024-03-01 | |||||||||
| タイトル | ||||||||||
| タイトル | Self-Supervised Pre-training of Vision Transformers Using Stable Diffusion-Generated Images | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | 人工知能と認知科学 | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||
| 資源タイプ | conference paper | |||||||||
| 著者所属 | ||||||||||
| 創価大 | ||||||||||
| 著者所属 | ||||||||||
| 創価大 | ||||||||||
| 著者名 |
ルイス, モルミレ
× ルイス, モルミレ
× 渥美, 雅保
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Traditional dataset building involves time-consuming tasks such as web scraping, cleaning, and labeling. Our proposed method utilizes a fast stable diffusion technique to efficiently generate synthetic images from text prompts, eliminating the need for manual data collection while mitigating biases and mislabeling. We conduct experiments with a vision transformer, comparing models trained on real datasets, datasets enhanced with synthetic images, and fully synthetic datasets. The results showcase the efficacy of stable diffusion-synthesized images in enhancing model generalization and accuracy, highlighting the potential of this approach in the realm of computer vision. | |||||||||
| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AN00349328 | |||||||||
| 書誌情報 |
第86回全国大会講演論文集 巻 2024, 号 1, p. 111-112, 発行日 2024-03-01 |
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| 出版者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||
