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SUFLECA achieves a remarkable 33.4% category accuracy and 42.3% instance accuracy in CAD-to-image alignment, outpacing traditional methods while cutting down computational costs.
Hierarchical scene graph matching, learned end-to-end, unlocks fast and accurate robot localization by grounding real-time sensor data against prior architectural maps.
