A Semi-Supervised Learning and Knowledge Distillation Based Method for Annotation of LIDAR Point Cloud Data
Author:
Affiliation:
1. Beijing Technology and Business University,School of Artificial Intelligence,Beijing,China
2. China Coal Science and Technology Group Shenyang Research Institute,State Key Laboratory of Coal Mine Safety Technology,Shenyang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10303003/10303015/10303071.pdf?arnumber=10303071
Reference22 articles.
1. Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
2. SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
3. Semi-supervised point cloud segmentation using self-training with label confidence prediction
4. Local Clustering with Mean Teacher for Semi-supervised Learning;chen;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2020
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