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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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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Samara National Research University
2018-02-01
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| Collection: | Компьютерная оптика |
| Sujets: | |
| Accès en ligne: | http://computeroptics.smr.ru/KO/PDF/KO42-1/420113.pdf |
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