GitHub / CVMI-Lab / MarS3D
(CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds
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Stars: 58
Forks: 7
Open issues: 4
License: apache-2.0
Language: Python
Size: 11.8 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: 10 months ago
Pushed at: over 1 year ago
Last synced at: 10 months ago
Commit Stats
Commits: 5
Authors: 3
Mean commits per author: 1.67
Development Distribution Score: 0.4
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/CVMI-Lab/MarS3D
Topics: cvpr2023, deep-learning, motion-analysis, point-cloud, semantic-segmentation