【點雲識別】PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding (ECCV 2020)
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding 本文介紹一篇ECCV2020裏面關於點雲無監督預訓練的文章。 論文 目前還沒有開源代碼 1. 問題 點雲無監督預訓練 2. 思想 點雲的預訓練領域處於比較空白的狀態，本文focus on 高級別的場景理解任務，提出了一種無監督的PointContras
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- 3. 【點雲識別】Grid-GCN for Fast and Scalable Point Cloud Learning (CVPR 2020)
- 4. 【點雲識別】Adaptive Hierarchical Down-Sampling for Point Cloud Classification(CVPR 2020)
- 5. 【點雲識別】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 論文筆記
- 7. 【點雲識別】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)
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- 9. 【點雲識別】3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation (CVPR 2020)
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相關文章
- 1. 3D 點雲識別: Geometric Feedback Network for Point Cloud Classification
- 2. 【點雲識別】PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation (CVPR 2020)
- 3. 【點雲識別】Grid-GCN for Fast and Scalable Point Cloud Learning (CVPR 2020)
- 4. 【點雲識別】Adaptive Hierarchical Down-Sampling for Point Cloud Classification(CVPR 2020)
- 5. 【點雲識別】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 論文筆記
- 7. 【點雲識別】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)
- 8. [點雲識別]-SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel
- 9. 【點雲識別】3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation (CVPR 2020)
- 10. 【點雲識別】Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels(CVPR 2020)