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Bootstrapping a 4D LiDAR Annotation Tool from Video Foundation Models

Kim, Jihun et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Progress in 4D LiDAR segmentation is bottlenecked by data. Assigning temporally consistent labels across sparse point cloud sequences is costly and hard to scale, and every new task or domain tends to demand fresh dense annotation. This motivates a simple question of whether high-quality LiDAR train
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