Re-Ranking via metric fusion for object retrieval and person re-identification
This work studies the unsupervised re-ranking procedure for object retrieval and person re-identification with a specific concentration on an ensemble of multiple metrics (or similarities). While the re-ranking step is involved by running a diffusion process on the underlying data manifolds, the fus...
| Главные авторы: | , , , |
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| Формат: | Conference item |
| Опубликовано: |
IEEE
2020
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