Feb 25, 2022 · Title:Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning ; Comments: 9 pages, 6 figures, 2 tables.
Oct 10, 2022 · We achieve the selection mechanism via a graph reasoning network that considers both the spatial and structural diversities of superpoints. To ...
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning - shaofeifei11/SSDR-AL.
In this paper, we propose a novel active learning-based method to tackle this problem. Dubbed SSDR-AL, our method groups the original point clouds into ...
People also ask
What is point cloud semantic segmentation?
Jan 14, 2024 · Color difference and surface variation were considered for stimulating diversity awareness. An analogous framework with noise-aware ...
Active Learning for Point Cloud Semantic Segmentation via Spatial ...
www.arxiv-sanity-lite.com › ...
Our approach leverages partial annotation, which reduces labeling costs for structured outputs by selecting only the most informative sub-structures for ...
This research presents a novel active learning framework tailored explicitly for multi-view LiDAR-based datasets, which provide diverse viewpoints of ...
Apr 18, 2022 · In this paper, we propose a new 3D region-based ac- tive learning approach, dubbed SSDR-AL, tailored for point cloud semantic segmentation via ...
In the proposed framework, a point cloud semantic segmentation model is first trained in supervision with labeled dataset DL. The model then produces softmax ...
Missing: Reasoning. | Show results with:Reasoning.
Active learning for point cloud semantic segmentation via spatial-structural diversity reasoning. In. Proceedings of the 30th ACM International Conference on.