[译文] PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud
PASS3D：精确、快速的三维点语义分割点云 摘要 在这篇文章中，我们提出了PASS3D去实现逐点级的三维点云语义分割。我们的框架结合了传统几何方法的高效和深度学习方法的鲁棒性，包含两个阶段：阶段1，加速聚类生成算法会通过分割无地面的点云生成优化的聚类提案，能够在极短时间内生成较少冗余和较高召回率；阶段2，通过神经网络对这些聚类提案进行放大和进一步处理，估计每个点的语义，同时提出一种新的数据增
相关文章
- 1. 【译文】 PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud
- 2. Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
- 3. 3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation[ECCV2018]
- 4. 《PointNet：Deep Learning on Point Sets for 3D Classification and Segmentation》中文翻译
- 5. 【2019CVPR学习】翻译-Graph Attention Convolution for Point Cloud Semantic Segmentation
- 6. 论文笔记-PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
- 7. PointNet:Deep Learning on Point Sets for 3D Classificatiion and Segmentation
- 8. [Point Cloud] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 论文解读
- 9. Deep Learning on Point Sets for 3D Classification and Segmentation
- 10. 【论文笔记】【点云分割】2018_PointSIFT：A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
- 更多相关文章...
- • RSS
元素 - RSS 教程 - • Eclipse 编译项目 - Eclipse 教程
- • RxJava操作符（七）Conditional and Boolean
- • Spring Cloud 微服务实战(三) - 服务注册与发现
相关标签/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。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 【译文】 PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud
- 2. Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
- 3. 3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation[ECCV2018]
- 4. 《PointNet：Deep Learning on Point Sets for 3D Classification and Segmentation》中文翻译
- 5. 【2019CVPR学习】翻译-Graph Attention Convolution for Point Cloud Semantic Segmentation
- 6. 论文笔记-PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
- 7. PointNet:Deep Learning on Point Sets for 3D Classificatiion and Segmentation
- 8. [Point Cloud] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 论文解读
- 9. Deep Learning on Point Sets for 3D Classification and Segmentation
- 10. 【论文笔记】【点云分割】2018_PointSIFT：A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation