Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds[ICCV2017]
论文连接 \qquad PointNet将输入的点细分为一个个块（个人理解为训练模型时的一个个Batch）并且独立的处理这些Block。在本文中，作者在PointNet的基础上提出了两种扩展模型，增大了模型在3D场景中的感受野，从而使模型可以处理更大尺度的空间场景。 \qquad 将点块转换为multi-scale blocks和grid blocks，以获得input-level的上下文。然后，
相关文章
- 1. 3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation[ECCV2018]
- 2. Context Encoding for Semantic Segmentation[CVPR2018]
- 3. Context Encoding for Semantic Segmentation
- 4. 《18.Context Encoding for Semantic Segmentation》
- 5. Recurrent Slice Networks for 3D Segmentation of Point Clouds[CVPR2018]
- 6. 【原】Context Encoding for Semantic Segmentation
- 7. Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
- 8. Scan Context: Egocentric Spatial Descriptor for Place Recognition within 3D Point Cloud Map
- 9. [译文] PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud
- 10. 【译文】 PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud
- 更多相关文章...
- • Scala for循环 - Scala教程
- • Swift for 循环 - Swift 教程
- • Composer 安装与使用
- • 互联网组织的未来：剖析GitHub员工的任性之源
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. 3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation[ECCV2018]
- 2. Context Encoding for Semantic Segmentation[CVPR2018]
- 3. Context Encoding for Semantic Segmentation
- 4. 《18.Context Encoding for Semantic Segmentation》
- 5. Recurrent Slice Networks for 3D Segmentation of Point Clouds[CVPR2018]
- 6. 【原】Context Encoding for Semantic Segmentation
- 7. Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
- 8. Scan Context: Egocentric Spatial Descriptor for Place Recognition within 3D Point Cloud Map
- 9. [译文] PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud
- 10. 【译文】 PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud