Summary
SCOPE introduces a novel method for Incremental Few-Shot (IFS) 3D segmentation, an underexplored area in 3D point clouds. It tackles issues like catastrophic forgetting and poor prototype learning by leveraging scene context from unlabelled background data in base-training scenes. This plug-and-play approach aims to improve the learning of new categories over time with minimal annotations.
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