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...
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Conference item |
| Julkaistu: |
IEEE
2020
|