Weakly Supervised 3D Point Cloud Segmentation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

3 shown of 3 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation
  4 Oct 2022 1 repository listed Syntology ran 3 of 8 samples · 5 unverified
  Annotation of large-scale 3D data is notoriously cumbersome and costly.
• Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision
  10 Aug 2022 1 repository listed
  Instance segmentation on 3D point clouds has been attracting increasing attention due to its wide applications, especially in scene understanding areas.
• Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels
  1 Jun 2020 1 repository listed
  Point cloud analysis has received much attention recently; and segmentation is one of the most important tasks.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.