【點雲識別】Multi-Path Region Mining ForWeakly Supervised 3D Semantic Segmentation on Point Clouds
Multi-Path Region Mining ForWeakly Supervised 3D Semantic Segmentation on Point Clouds 本文介紹一篇cvpr2020裏面關於點雲弱監督分割的文章。 論文 目前還沒有開源代碼 1. 問題 目前獲得大規模點雲已經不是一件困難的事情了，但是對其進行標註是十分費時。 例如 ScanNet 數據集，對一個scan標註時間的
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- 1. 【點雲語義分割】Multi-Path Region Mining ForWeakly Supervised 3D Semantic Segmentation on Point Clouds（CVPR）
- 2. [點雲分割]-Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
- 3. 【點雲識別】Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels(CVPR 2020)
- 4. 3D Point Clouds-1
- 5. 【點雲識別】Learning to Segment 3D Point Clouds in 2D Image Space (CVPR 2020)
- 6. 論文閱讀：Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation
- 7. [點雲識別]-SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel
- 8. 【點雲識別】3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation (CVPR 2020)
- 9. 3D點雲網絡：PointNet:Deep Learning on Point Sets for 3D Classification and Segmentation
- 10. Complex-YOLO: An Euler-Region-Proposal for Real-time 3D Object Detection on Point Clouds
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相關文章
- 1. 【點雲語義分割】Multi-Path Region Mining ForWeakly Supervised 3D Semantic Segmentation on Point Clouds（CVPR）
- 2. [點雲分割]-Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
- 3. 【點雲識別】Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels(CVPR 2020)
- 4. 3D Point Clouds-1
- 5. 【點雲識別】Learning to Segment 3D Point Clouds in 2D Image Space (CVPR 2020)
- 6. 論文閱讀：Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation
- 7. [點雲識別]-SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel
- 8. 【點雲識別】3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation (CVPR 2020)
- 9. 3D點雲網絡：PointNet:Deep Learning on Point Sets for 3D Classification and Segmentation
- 10. Complex-YOLO: An Euler-Region-Proposal for Real-time 3D Object Detection on Point Clouds