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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.
Memory-augmented pose estimation can dramatically improve generalization across diverse object instances, outperforming traditional methods by leveraging accumulated geometric knowledge.
TACO achieves state-of-the-art performance in open-vocabulary video recognition by preserving out-of-distribution alignment, challenging the conventional trade-off between generalization and specialization.