PoCo: A Novel End-to-End Algorithm for Efficient Indoor RGB-D Place Recognition

PoCo, a novel end-to-end algorithm, generalizes the Context of Clusters (CoCs) concept to efficiently extract global descriptors directly from noisy RGB-D point clouds through joint learning of color and geometric features, achieving state-of-the-art performance on challenging indoor place recognition datasets.