Weakly Supervised 3D Point Cloud Segmentation
3 papers with code • 0 benchmarks • 1 datasets
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Most implemented papers
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels
Point cloud analysis has received much attention recently; and segmentation is one of the most important tasks.
Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision
Instance segmentation on 3D point clouds has been attracting increasing attention due to its wide applications, especially in scene understanding areas.
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation
Annotation of large-scale 3D data is notoriously cumbersome and costly.