三维目标检测入门
- 1 文档需知
- 2 基础知识
- 深度学习基础必上手项目
- 科研研究必知道的论文门户
- 深度学习必看论文
- 3 目标检测入门知识
- 二维目标检测必看论文
- 4 三维目标检测入门知识
- 三维目标检测必熟悉数据集
- 三维目标检测点云分类分割预备知识
- 三维目标检测必熟悉，必跑通，必理解细节实现的框架
- 三维目标检测必看（有时间必复现）论文（都有开源代码）
1 文档需知
本文档为实验室整理，仅供学习使用。未经允许严禁私自转载。
同时欢迎大家报名加入实验室：厦门大学ASC实验室
三维目标检测入门
2 基础知识
- 机器学习（机器学习（西瓜书）周志华， 吴恩达系列视频）
- 深度学习 (李飞飞系列视频，各种深度学习实战书籍)
- Python 编程基础 (网易云课堂搜索 python 基础)
- Pytorch 深度学习框架 (pytorch 实战书籍)
深度学习基础必上手项目
- MNIST 手写数字识别
- Cifar10 图像分类项目
科研研究必知道的论文门户
- 谷歌学术：https://scholar.google.com
- Arxiv：https://arxiv.org/
- 语义学术：https://www.semanticscholar.org/
- 微软学术：https://academic.research.microsoft.com/
深度学习必看论文
- VGG：Very Deep Convolutional Networks for Large-Scale Image Recognition
- ResNet： Deep Residual Learning for Image Recognition
- BatchNorm：Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- Adam：Adam: A Method for Stochastic Optimization
- LSTM：Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
- Transformer：Attention Is All You Need
3 目标检测入门知识
二维目标检测必看论文
- R-CNN
- Fast R-CNN
- Faster R-CNN
- YOLO 系列
- SSD 系列
4 三维目标检测入门知识
三维目标检测必熟悉数据集
- KITTI
- Nuscence
- Waymo
三维目标检测点云分类分割预备知识
- PointNet (必手撕代码)
- PointNet++
三维目标检测必熟悉，必跑通，必理解细节实现的框架
- OpenPCDet
- Det3D
三维目标检测必看（有时间必复现）论文（都有开源代码）
- SECOND：Sparsely Embedded Convolutional Detection
- VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
- PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
- PointPillars: Fast Encoders for Object Detection from Point Clouds
- 3DSSD: Point-based 3D Single Stage Object Detector
- SA-SSD：Structure Aware Single-stage 3D Object Detection from Point Cloud
- PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
- Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
- Center-based 3D Object Detection and Tracking
- SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
- Voxel Transformer for 3D Object Detection
- Improving 3D Object Detection with Channel-wise Transformer
- Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
- Sparse Fuse Dense: Towards High Quality 3D Detection with Depth
Completion - DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets
- SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection
