【点云识别】Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud(CVPR 2020)
Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences 本文介绍一篇cvpr2020里面关于点云半监督配准的文章。 论文 没有开源代码 1. 问题 点云的弱监督配准问题 2. 思想 follow pointlk的一
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相关文章
- 1. 【点云识别】Grid-GCN for Fast and Scalable Point Cloud Learning (CVPR 2020)
- 2. [CVPR 2020] 3DRegNet: A Deep Neural Network for 3D Point Registration
- 3. 3DRegNet: A Deep Neural Network for 3D Point Registration 2020论文笔记
- 4. 【点云识别】PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding (ECCV 2020)
- 5. 【点云识别】Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes ECCV2020
- 6. 【点云识别】Adaptive Hierarchical Down-Sampling for Point Cloud Classification(CVPR 2020)
- 7. 【点云识别】PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation (CVPR 2020)
- 8. Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detect
- 9. A Robust Adversarial Training Approach to Machine Reading Comprehension
- 10. 【点云识别】Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling 论文笔记