|———— PointCloud
| |———— Volumetric Grids
| |———— Inherent Geometric
|———— Image
| |———— Monocular
| |———— Stereo
|———— Fusion of PointCloud and Image
- VoxelNet: Yin Zhou, Oncel Tuzel."VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection."[paper]
- PIXOR: Bin Yang, Wenjie Luo, Raquel Urtasun."PIXOR: Real-time 3D Object Detection from Point CLouds."[paper]
- Second: Yan Yan, Yuxing Mao, Bo Li."SECOND: Sparsely Embedded Convolutional Detection."[paper] [code]
- PointPillars: Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang."PointPillars: Fast Encoders for Object Detection from Point Clouds."[paper] [code]
- FocalLoss3d: Peng Yun, Lei Tai, Yuan Wang, Chengju Liu, Ming Liu."Focal Loss in 3D Object Detection"[paper]
- 3D Geometry: Arsalan Mousavian, Dragomir Anguelov, John Flynn, Jana Koseck."3D Bounding Box Estimation Using Deep Learning And Geometry"[paper]
- Frustum PointNets: Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas."Frustum PointNets for 3D Object Detection from RGB-D Data"[paper]
- PointRCNN: Shaoshuai Shi, Xiaogang Wang, Hongsheng li."PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud"[paper]
- Monocular 3D : Xinshuo Weng, Kris Kitani. Guibas."Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud"[paper]
- Stereo R-CNN: Peiliang Li,Xiaozhi Chen, and Shaojie Shen."Stereo R-CNN based 3D Object Detection for Autonomous Driving."[paper]
- MV3D: Xiaozhi Chen,Huimin Ma,Ji Wan,Bo Li and Tian Xia."Multi-View 3D Object Detection Network for Autonomous Driving."[paper]
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