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...

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Những tác giả chính: Bai, S, Tang, P, Torr, P, Latecki, L
Định dạng: Conference item
Được phát hành: IEEE 2020