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insight - Zero-Shot Lidar Panoptic Segmentation
Better Call SAL: Towards Learning to Segment Anything in Lidar
Proposing SAL for zero-shot Lidar segmentation and classification, distilling vision models into Lidar for universal applications.
Segment Anything in Lidar: Distilling Vision Foundation Models for Zero-Shot Panoptic Segmentation
SAL, a method for Zero-Shot Lidar Panoptic Segmentation, utilizes a pseudo-label engine that distills vision foundation models to Lidar and a zero-shot model trained via self-supervision. This allows for segmenting and classifying any object in a Lidar scan without manual supervision.
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