Class agnostic and specific consistency learning for weakly-supervised point cloud semantic segmentation

Published: 01 Jan 2025, Last Modified: 01 Aug 2025Pattern Recognit. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Propose a weakly-supervised point cloud segmentation under 0.1% and 0.01% annotation.•Pull group-to-group point features closer using nearby perturbed point features.•steer unlabeled points towards corresponding class-specific memory bank features.
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