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The University of Utah
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BSTabDiff achieves superior synthetic data generation in HDLSS contexts by intelligently leveraging block-subunit structures to capture complex dependencies.
Rare but critical categories like children and emergency vehicles can be effectively detected using a novel semantic-guided expert framework that transforms long-tail learning in 3D perception.
