Research map / Point clouds / Segmentation and detection
Reasoning Beyond Points: A Visual Introspective Approach for Few-Shot 3D Segmentation
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Proposes VIP-Seg, a pre-training-free visual introspective prototype network for few-shot point cloud semantic segmentation.
Problem
Point cloud few-shot semantic segmentation (PC-FSS) must segment unseen categories in query point clouds from only a few annotated support samples, challenged by scene complexity and weak local geometric representation.
Approach
A pre-training-free prototype segmentation network that introduces visual introspection to reason about point cloud features and local geometry for few-shot segmentation; full method details are not available from the abstract.
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