• Corpus ID: 231632271

Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach

  title={Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach},
  author={Xian Shi and Xun Xu and Ke Chen and Lile Cai and Chuan-Sheng Foo and Kui Jia},
Semantic segmentation of 3D point clouds relies on training deep models with a large amount of labeled data. However, labeling 3D point clouds is expensive, thus smart approach towards data annotation, a.k.a. active learning is essential to label-efficient point cloud segmentation. In this work, we first propose a more realistic annotation counting scheme so that a fair benchmark is possible. To better exploit labeling budget, we adopt a super-point based active learning strategy where we make… 

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  • Kaichun MoShilin Zhu Hao Su
  • Computer Science
    2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2019
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