Abstract: We propose a data structure obtained by hierarchically pooling Bag-of-Words (BoW) descriptors during a sequence of views that
achieves average speedups in large-scale loop closure applications ranging from 2 to 20 times on benchmark datasets. Although simple, the
method works as well as sophisticated agglomerative schemes at a fraction of the cost with minimal loss of performance.
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