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Tightly Coupled Learning Strategy for Weakly Supervised Hierarchical Place Recognition
For the trade-off between time and performance, most of methods use the coarse-to-fine hierarchical architecture, which consists of retrieving top-N candidates using global features, and re-ranking top-N with local features.
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