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University of Science and Technology Beijing
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Forget synthetic data – Unposed-to-3D learns to reconstruct realistic, simulation-ready 3D vehicles directly from real-world driving images.
LLMs still struggle to understand the meaning of common phrases, idioms, and compound words, revealing critical gaps in semantic reasoning.
Revitalizing the latent edge-sensitivity of DINO with SAM's structural priors yields state-of-the-art open-vocabulary segmentation, especially in cluttered scenes.
