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Vision Foundation Models with Synthetic-Only Training for Monocular Spacecraft Pose Estimation
We present an improvement on previous spacecraft pose estimation architectures that results in the lowest published mean rotation errors we know of on the SPEED+ lightbox and sunlamp test sets for a known, non-cooperative spacecraft. By using a previously established heatmap-based pose estimation ar
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