SUFLECA: Scaling Up Feature Learning for CAD-to-image Alignment

SUFLECA improves zero-shot 9D pose estimation by using Normalized Object Coordinates (NOCs) to ground feature learning in geometry rather than appearance. The framework scales feature representation using 674K images across 12 datasets to mitigate performance degradation caused by occlusion and sim-to-real domain shifts.