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Found 2 papers, 2 papers with code
ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data
In this paper, we present a flexible and effective OIS framework for LiDAR point cloud that can accurately segment both known and unknown instances (i. e., seen and unseen instance categories during training).
InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data
We evaluated our approach on the LiDAR-MOS benchmark based on SemanticKITTI and achieved better moving object segmentation performance compared to state-of-the-art methods, demonstrating the effectiveness of our approach in integrating instance information for moving object segmentation.
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