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Achieving $0.1\text{m}$ spatial resolution with real-time inference, GaussianSeed redefines the efficiency-quality balance in 3D occupancy prediction.
Learning dynamics through outcomes rather than parameters leads to significantly more robust policy adaptation in the face of real-world changes.
Autonomous driving systems can now learn continuously without forgetting, thanks to a new method that disentangles true driving skills from spurious correlations caused by sensor noise and environmental changes.
