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Image synthesis with neural networks for traffic sign classification
In this work, we research the applicability of generative adversarial neural networks for generating training samples for a traffic sign classification task. We consider generative neural networks trained using the Wasserstein metric. As a baseline method for comparison, we take image generation bas...
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| 主要な著者: | , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Samara National Research University
2018-02-01
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| シリーズ: | Компьютерная оптика |
| 主題: | |
| オンライン･アクセス: | http://computeroptics.smr.ru/KO/PDF/KO42-1/420113.pdf |
| タグ: |
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