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In this paper, we present a pipeline for visual localization using 2D-3D matching, yielding high localization accuracy comparable with hierarchical methods based on 2D-2D matching. This is accomplished through an active exploration strategy, which adaptively explores multiple parts of the scene to find the region that generates the most inlier matches, followed by refining the pose with a pose-to-
