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

Junwei Wu; Mingjie Sun; Haotian Xu; Chenru Jiang; Wuwei Ma; Quan Zhang

doi:10.1016/j.patcog.2024.111067

ScienceGate Book Chapters

JOURNAL ARTICLE

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

Junwei Wu Mingjie Sun Haotian Xu Chenru Jiang Wuwei Ma Quan Zhang

Year: 2024 Journal: Pattern Recognition Vol: 158 Pages: 111067-111067 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2024.111067

Get Full-Text PDF Get Analytical Report

Keywords:

Segmentation Consistency (knowledge bases) Class (philosophy) Point cloud Computer science Artificial intelligence Point (geometry) Pattern recognition (psychology) Machine learning Mathematics

Metrics

Cited By

5.77

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

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

Metrics

Citation History

Topics

Related Documents

Cross-Cloud Consistency for Weakly Supervised Point Cloud Semantic Segmentation

Weakly supervised point cloud semantic segmentation based on scene consistency

Weakly supervised point cloud semantic segmentation using pseudo-label reliability and consistency regularization

Learning class-agnostic masks with cross-task refinement for weakly supervised semantic segmentation

Weakly Supervised Learning for Point Cloud Semantic Segmentation With Dual Teacher