└── README.md


/README.md:
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 1 | ## 2D Detection
 2 | 
 3 | 
 4 | 
 5 | ## 1. 3D Detection
 6 | 
 7 | ### Point-Voxel-based Methods
 8 | 1. [PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection.](https://arxiv.org/pdf/1912.13192.pdf) (CVPR 2020) [Code](https://github.com/open-mmlab/OpenPCDet)
 9 | 
10 | ### Voxel-based Methods
11 | 1. [SECOND:Sparsely Embedded Convolutional Detection](https://www.mdpi.xilesou.top/1424-8220/18/10/3337) (Senors) [Code](https://github.com/traveller59/second.pytorch)
12 | 2. [PointPillars: Fast Encoders for Object Detection from Point Clouds ](https://arxiv.org/pdf/1812.05784.pdf) (CVPR-2019 ) [Code](https://github.com/nutonomy/second.pytorch)
13 | 3. [TANet: Robust 3D Object Detection from Point Clouds with Triple Attention.](https://arxiv.org/pdf/1912.05163.pdf) (AAAI-2020) [Code](https://github.com/happinesslz/TANet)
14 | 4. [Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds. ](https://arxiv.org/pdf/1912.04775.pdf) (Arxiv 2019.12)
15 | 5. [(Part A^2)From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network.](https://arxiv.org/pdf/1907.03670.pdf) [Code](https://github.com/open-mmlab/OpenPCDet)
16 | 6. [SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud.](https://www4.comp.polyu.edu.hk/~cslzhang/paper/SA-SSD.pdf) (CVPR2020) [Code](https://github.com/skyhehe123/SA-SSD)
17 | 
18 | ### Point-Cloud-based Methods
19 | 1. [PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud.](https://arxiv.org/pdf/1812.04244.pdf) (CVPR-2019) [Code](https://github.com/sshaoshuai/PointRCNN)
20 | 2. [3DSSD: Point-based 3D Single Stage Object Detector](https://arxiv.org/abs/2002.10187) (CVPR2020) [Code](https://github.com/Jia-Research-Lab/3DSSD)
21 | 
22 | ### Point Cloud + Image
23 | 1. [EPNet:Enhancing Point Features with Image Semantics for 3D Object Detection.](https://arxiv.org/pdf/2007.08856.pdf)(ECCV 2020)[Code](https://github.com/happinesslz/EPNet)
24 | 
25 | 2. [3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection.](https://arxiv.org/pdf/2004.12636.pdf) (ECCV 2020) [Code](https://github.com/rasd3/3D-CVF)
26 | 
27 |    
28 | 
29 | ## 2. 3D Detection Toolboxs
30 | 1. [Det3D](https://github.com/poodarchu/Det3D)
31 | 2. [OpenPCDet](https://github.com/open-mmlab/OpenPCDet)
32 |    
33 |    
34 |    
35 | 


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