PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
2017-12-10 16:44
435 查看
目前看，在KITTI三维目标检测中，F-PointNet排名第一。
这篇文章是2017年CVPR上的，讲的是根据点云信息直接进行三维的分类与分割。
从效果上看，居然比陈晓智的MV3D还要好，真的不可思议。
后面仔细看看内容再完善这篇博客。
这篇文章是2017年CVPR上的，讲的是根据点云信息直接进行三维的分类与分割。
从效果上看，居然比陈晓智的MV3D还要好，真的不可思议。
后面仔细看看内容再完善这篇博客。
内容来自用户分享和网络整理，不保证内容的准确性，如有侵权内容，可联系管理员处理 
相关文章推荐
- Sensor fusion and input representation for time series classification using deep nets
- 笔记 NEURAL NETS FOR VISION CVPR 2012 Tutorial on Deep Learning
- More 3D Graphics (rgl) for Classification with Local Logistic Regression and Kernel Density Estimates (from The Elements of Statistical Learning)（转）
- Some 3D Graphics (rgl) for Classification with Splines and Logistic Regression (from The Elements of Statistical Learning)（转）
- 论文笔记 A Large Contextual Dataset for Classification,Detection and Counting of Cars with Deep Learning
- 看An incremental network for on-line unsupervised classification and topology learning
- Deep Learning for Video Classification and Captioning
- 语义分割--Learning Object Interactions and Descriptions for Semantic Image Segmentation
- Deep learning tutorial on Caffe technology : basic commands, Python and C++ code.
- Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
- [Paper 学习笔记]PCANet: A Simple Deep Learning Baseline for Image Classification?
- Notes on NNDL(Neural Networks and Deep Learning)
- Install and Compile MatConvNet: CNNs for MATLAB --- Deep Learning framework
- A Tutorial on Deep Learning Part 2: Autoencoders, Convolutional Neural Networks and Recurrent Neural
- A 'Brief' History of Neural Nets and Deep Learning, Part 3
- 语义分割--Deep Dual Learning for Semantic Image Segmentation
- 中文译文：Minerva-一种可扩展的高效的深度学习训练平台（Minerva - A Scalable and Highly Efficient Training Platform for Deep Learning）
- 翻译 | Keras : Deep Learning library for Tensorflow and Theano
- 论文阅读：Volumetric and Multi-View CNNs for Object Classification on 3D Data
- Deep Direct Reinforcement Learning for Financial Signal Representation and Trading