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TACO achieves over 90% success in robustly optimizing SLAM trajectories, even in the presence of up to 50% outlier measurements.
Forget scaling laws: a single looped transformer block, iterated explicitly, crushes billion-parameter feed-forward networks at multi-view 3D reconstruction.
