https://libeldoc.bsuir.by/handle/123456789/45798| Title: | Joint Dataset for CNN-based Person Re-identification |
| Authors: | Ihnatsyeva, S. Bohush, R. Ablameyko, S. |
| Keywords: | материалы конференций;conference proceedings;large-scale dataset;cross domain;convolution neural network;PolReID dataset |
| Issue Date: | 2021 |
| Publisher: | UIIP NASB |
| Citation: | Ihnatsyeva, S. Joint Dataset for CNN-based Person Re-identification / Ihnatsyeva S., Bohush R., Ablameyko S. // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 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://libeldoc.bsuir.by/handle/123456789/45798 |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Ihnatsyeva_Joint.pdf | 981.4 kB | Adobe PDF | View/Open |
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