【點雲系列】PointGrid: A Deep Network for 3D Shape Understanding
文章目錄 1 概要 2 Motivation 3 思想 4 算法 5 實驗結果 6 結論及思考 1 概要 題目：PointGrid: A Deep Network for 3D Shape Understanding 論文：https://openaccess.thecvf.com/content_cvpr_2018/papers/Le_PointGrid_A_Deep_CVPR_2018_pap
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相關文章
- 1. Paper reading：PointGrid： A Deep Network for 3D Shape Understanding
- 2. 目標檢測分割--BlitzNet: A Real-Time Deep Network for Scene Understanding
- 3. 3D點雲深度學習」綜述論文--Deep Learning for 3D Point Clouds: A Survey
- 4. [CVPR 2020] 3DRegNet: A Deep Neural Network for 3D Point Registration
- 5. 3DRegNet: A Deep Neural Network for 3D Point Registration 2020論文筆記
- 6. Deep Learning for 3D Point Clouds: A Survey
- 7. 車輛2D/3D--Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis
- 8. 三維點雲語義分割【綜述】 ——Deep Learning for 3D Point Clouds: A Survey
- 9. Language Understanding for TextGames using Deep Reinforcement
- 10. [點雲目標檢測]-A Hierarchical Graph Network for 3D Object Detection on Point Clouds