【点云识别】PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding (ECCV 2020)
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding 本文介绍一篇ECCV2020里面关于点云无监督预训练的文章。 论文 目前还没有开源代码 1. 问题 点云无监督预训练 2. 思想 点云的预训练领域处于比较空白的状态，本文focus on 高级别的场景理解任务，提出了一种无监督的PointContras
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相关文章
- 1. 3D 点云识别: Geometric Feedback Network for Point Cloud Classification
- 2. 【点云识别】PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation (CVPR 2020)
- 3. 【点云识别】Grid-GCN for Fast and Scalable Point Cloud Learning (CVPR 2020)
- 4. 【点云识别】Adaptive Hierarchical Down-Sampling for Point Cloud Classification(CVPR 2020)
- 5. 【点云识别】Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes ECCV2020
- 6. PF-Net: Point Fractal Network for 3D Point Cloud Completion 2020 论文笔记
- 7. 【点云识别】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)
- 8. [点云识别]-SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel
- 9. 【点云识别】3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation (CVPR 2020)
- 10. 【点云识别】Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels(CVPR 2020)