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https://elib.psu.by/handle/123456789/28586| Title: | Joint Dataset for CNN-based Person Re-identification |
| Authors: | Ihnatsyeva, S. Bohush, R. Ablameyko, S. |
| Issue Date: | 2021 |
| Publisher: | UIIP NASB |
| Citation: | Ihnatsyeva, S. Joint Dataset for CNN-based Person Re-identification / S. Ihnatsyeva, R. Bohush, S. Ablameyko // Pattern Recognition and Information Processing (PRIP'2021): Proceedings of the 15th International Conference, Minsk, 21–24 Sept. 2021. – Minsk : UIIP NASB, 2021. - P. 33-37. |
| Abstract: | In this paper, we propose a joint dataset for person re-identification task that includes the existing public datasets CUHK02, CUHK03, Market, Duke, LPW and our collected PolReID. We investigate the training dataset size and composition effect on the re-identification accuracy. We carried out a number of experiments with different size of dataset to solve re-identification task. The results of experiments are presented. |
| URI: | https://elib.psu.by/handle/123456789/28586 |
| Appears in Collections: | Публикации в изданиях Республики Беларусь Машинное обучение. Обработкой изображений и видео. Интеллектуальные системы. Информационная безопасность |
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