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University of Arkansas
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Separating appearance from identity in video object learning leads to significant gains in segmentation and temporal consistency, outperforming existing methods.
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.
