读论文 3D Point Cloud Classification using 3D Modified Fisher Vector Representation for CNN

时间 2020-12-30

标签 CNN 点云分类栏目 Java开源繁體版

原文原文链接

3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks 模型结构：可见模型主要分为两部分，一部分是将输入点云变为 Fisher Vector 表达，另一部分是进行CNN处理其中 Incepti

>>阅读原文<<

1. A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION
2. 论文阅读-3D Point Cloud Attribute Compression Using Geometry-Guided Sparse Representation
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9. 【论文阅读】【综述】Deep Learning for 3D Point Clouds: A Survey
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1. A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION
2. 论文阅读-3D Point Cloud Attribute Compression Using Geometry-Guided Sparse Representation
3. [Point Cloud] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 论文解读
4. 论文阅读：Multi-view Convolutional Neural Networks for 3D Shape Recognition
5. 论文阅读：Volumetric and Multi-View CNNs for Object Classification on 3D Data
6. PF-Net: Point Fractal Network for 3D Point Cloud Completion 2020 论文笔记
7. 论文阅读：PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
8. 3D Fully Convolutional Network for Vehicle Detection in Point Cloud解析(3D-CNN模型）
9. 【论文阅读】【综述】Deep Learning for 3D Point Clouds: A Survey
10. PointNet:Deep Learining on Point Sets for 3D Classification and Segmentation 论文解析

>>更多相关文章<<