A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Seg (CVPR 2019)
PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation 本文介紹一篇cvpr2019裏面關於點雲部件分割的文章。 論文 代碼 1. 問題 目前的點雲局部分割框架都只能將物體分割成固定數目的部件，這便制約了其泛化能力和靈活性。於是這篇文章提出了一種hier
相關文章
- 1. Point Cloud 2019
- 2. GRASS: Generative Recursive Autoencoders for Shape Structures
- 3. Paper reading：PointGrid： A Deep Network for 3D Shape Understanding
- 4. CVPR 2019 paper
- 5. Official Program for CVPR 2015
- 6. A Hierarchical Neural Autoencoder for Paragraphs and Documents
- 7. 2019 CVPR: A main/subsidiary network framework for simplifying binary neural networks
- 8. refineNet_multi-path refinement network for high-resolution semantic seg
- 9. 2020 cvpr Hierarchical Conditional Relation Networks for Video Question Answering
- 10. [點雲目標檢測]-A Hierarchical Graph Network for 3D Object Detection on Point Clouds
- 更多相關文章...
- • Scala for循環 - Scala教程
- • Lua for 循環 - Lua 教程
- • RxJava操作符（七）Conditional and Boolean
- • Flink 數據傳輸及反壓詳解
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Point Cloud 2019
- 2. GRASS: Generative Recursive Autoencoders for Shape Structures
- 3. Paper reading：PointGrid： A Deep Network for 3D Shape Understanding
- 4. CVPR 2019 paper
- 5. Official Program for CVPR 2015
- 6. A Hierarchical Neural Autoencoder for Paragraphs and Documents
- 7. 2019 CVPR: A main/subsidiary network framework for simplifying binary neural networks
- 8. refineNet_multi-path refinement network for high-resolution semantic seg
- 9. 2020 cvpr Hierarchical Conditional Relation Networks for Video Question Answering
- 10. [點雲目標檢測]-A Hierarchical Graph Network for 3D Object Detection on Point Clouds