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3D Object Detection经典论文整理
【分类/下载/代码/笔记】
W.P. Xiao, Visual group, SHUSV

	版本	更新时间	更新内容	作者
1	V 1.0	2021.12	论文分类整理	W.P. Xiao
2	V 1.0.1	2022.1.7	更新code链接	Y.Q. Wu

3D Object Detection经典论文整理【分类/下载/代码/笔记】

笔者分类整理了与三维目标检测有关的经典论文和部分最新论文的PDF下载链接、开源代码、阅读笔记（部分）。笔者认为的必读经典论文通过加粗标识。论文主要按照Point-based和Voxel-based来划分，还包括一些交叉领域新的方向，比如Transformer、Self-ensembling等。[paper]表示论文的下载链接，[code]表示开源代码（包括Tensorflow代码tf-code、PyTorch代码torch-code），[note]表示论文阅读笔记（小结）。更为完整的3D object detection paper list后续会在github上持续更新。

Point-based

PointNet系列
- CVPR 2017 [PointNet] Deep Learning on Point Sets for 3D Classification and Segmentation [paper] [tf-code,torch-code] [note]
- NIPS 2017 [PointNet++] Deep Hierarchical Feature Learning on Point Sets in a Metric Space [paper] [tf-code,torch-code] [note]
- CVPR 2018 [Frustum PointNets] Frustum PointNets for 3D Object Detection from RGB-D Data [paper] [tf-code]
CVPR 2019 [PointRCNN] 3D Object Proposal Generation and Detection From Point Cloud [paper] [torch-code] [note]
ICCV 2019 [STD] Sparse to Dense 3D Object Detector for Point Cloud [paper] [note]
CVPR 2020 (Oral) [3DSSD] Point-based 3D Single Stage Object Detector [paper]
VoteNet系列文章来源地址https://www.toymoban.com/news/detail-426956.html
- ICCV 2019 [VoteNet] Deep Hough Voting for 3D Object Detection in Point Clouds [paper] [code]
- CVPR 2020 [ImVoteNet] Boosting 3D Object Detection in Point Clouds With Image Votes[ paper] [code]

Voxel-based

Anchor-based

CVPR 2018 [VoxelNet] End-to-End Learning for Point Cloud Based 3D Object Detection [paper] [tf-code]
Sensors 2018 [SECOND] Sparsely Embedded Convolutional Detection [torch-code,torch-code]
CVPR 2019 [PointPillars] Fast Encoders for Object Detection from Point Clouds [paper] [torch-code,torch-code]
CVPR 2020 (Oral) [What You See is What You Get] Exploiting Visibility for 3D Object Detection [paper]
PAMI 2020 [From Points to Parts] 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network [paper] [torch-code] [note]
CVPR 2020 [SA-SSD] Structure Aware Single-stage 3D Object Detection from Point Cloud
PV-RCNN系列
- CVPR 2020 [PV-RCNN] Point-Voxel Feature Set Abstraction for 3D Object Detection [paper] [torch-code] [note]
- ECCV 2020 [Deformable PV-RCNN] Improving 3D Object Detection with Learned Deformations
- arXiv 2021 [PV-RCNN++] Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection [paper] [torch-code]
ECCV 2020 [SSN] Shape Signature Networks for Multi-class Object Detection from Point Clouds [paper] [code]
AAAI 2021 [Voxel R-CNN] Towards High Performance Voxel-based 3D Object Detection [paper] [torch-code]
AAAI 2021 [CIA-SSD] Confident IoU-Aware Single-Stage Object Detector From Point Cloud [paper] [torch-code]

Anchor free

ECCV 2020 [POD] Pillar-based Object Detection for Autonomous Driving [paper]
ECCV 2020 [Object as Hotspots] An Anchor-Free 3D Object Detection Approach via Firing of Hotspots [paper]
CVPR 2021 [Centerpoint] Center-based 3D Object Detection and Tracking [paper] [torch-code]

Transformer/Self-attention/Attention

AAAI 2020 (Oral) [TANet] Robust 3D Object Detection from Point Clouds with Triple Attention. [paper] [code]
CVPR 2020 [3DVID/PMPNet] LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention. [paper]
arXiv 2021 [SA-Det3D] Self-Attention Based Context-Aware 3D Object Detection [paper] [torch-code]
ICCV 2021 [CT3D] Improving 3D Object Detection with Channel-wise Transformer [paper] [torch-code]
ICCV 2021 [VoTr] Voxel Transformer for 3D Object Detection [paper] [torch-code]
ICCV 2021 [Pyramid R-CNN] Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection [paper] [torch-code]
arXiv 2021[M3DeTR]M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers [paper] [torch-code]
arXiv 2021 [SST] Embracing Single Stride 3D Object Detector with Sparse Transformer [paper] [torch-code]

Multi-sensor

CVPR 2018 [Frustum PointNets] Frustum PointNets for 3D Object Detection from RGB-D Data [paper] [tf-code]
CVPR 2019 [UberATG-MMF] Multi-Task Multi-Sensor Fusion for 3D Object Detection [paper]
IROS 2020 [CLOCs] Camera-LiDAR Object Candidates Fusion for 3D Object Detection [paper]
CVPR 2020 [PointPainting] Sequential Fusion for 3D Object Detection [paper]
arXiv 2021 [VPFNet] Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion [paper]

Self-ensembling

CVPR 2021 [SE-SSD] Self-Ensembling Single-Stage Object Detector From Point Cloud [paper]

Unsupervised domain adaptation

CVPR 2021 [ST3D] Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection
ICCV 2021 [SPG] Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation [paper]

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