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Awesome-3D-Detectors
Paperlist of awesome 3D detection methods
https://github.com/Hub-Tian/Awesome-3D-Detectors
- Multi-View 3D Object Detection Network for Autonomous Driving
- Frustum PointNets for 3D Object Detection from RGB-D Data - pointnets) | CVPR2018 | I+L |
- VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
- PIXOR: Real-time 3D Object Detection from Point Clouds - huang/PIXOR) | CVPR2018 | L |
- Joint 3D Proposal Generation and Object Detection from View Aggregation
- Deep Continuous Fusion for Multi-Sensor 3D Object Detection
- SECOND: Sparsely Embedded Convolutional Detection
- Complex-YOLO: Real-time 3D Object Detection on Point Clouds - liu/Complex-YOLO) | Axiv2018 | L |
- Fusing Bird’s Eye View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection
- RoarNet: A Robust 3D Object Detection based on Region Approximation Refinement
- Point-Voxel CNN for Efficient 3D Deep Learning - han-lab/pvcnn) | NIPS2019 | L |
- Multi-Task Multi-Sensor Fusion for 3D Object Detection
- PointPillars: Fast Encoders for Object Detection from Point Clouds
- PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud - mmlab/OpenPCDet) | CVPR2019 | L |
- LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
- Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
- Fast PointRCNN
- STD: Sparse-to-Dense 3D Object Detector for Point Cloud
- Deep Hough Voting for 3D Object Detection in Point Clouds
- MVX-Net: Multimodal VoxelNet for 3D Object Detection - mmlab/mmdetection3d) | ICRA2019 | I+L |
- Patch Refinement - Localized 3D Object Detection
- StarNet: Targeted Computation for Object Detection in Point Clouds - PyTorch) | Arxiv2019 | L |
- Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection
- An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module
- TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
- End-to-end multi-view fusion for 3d object detection in lidar point clouds - to-End-Multi-View-Fusion-for-3D-Object-Detection-in-LiDAR-Point-Clouds) | ICRL2020 | L |
- SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
- Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds
- Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection
- From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network - mmlab/OpenPCDet) | TPAMI2020 | L |
- PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection - mmlab/OpenPCDet) | CVPR2020 | L |
- 3DSSD: Point-based 3D Single Stage Object Detector - Research-Lab/3DSSD) | CVPR2020 | L |
- Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection - 3Ddet) | CVPR2020 | L |
- HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection
- ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
- Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
- Structure Aware Single-stage 3D Object Detection from Point Cloud - SSD) | CVPR2020 | L |
- What You See is What You Get: Exploiting Visibility for 3D Object Detection
- DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes
- 3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds
- (3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection
- Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
- EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection
- Weakly Supervised 3D Object Detection from Lidar Point Cloud
- Pillar-based Object Detection for Autonomous Driving - od) | ECCV2020 | L |
- SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
- Center-based 3D Object Detection and Tracking
- AFDet: Anchor Free One Stage 3D Object Detection
- Local Grid Rendering Networks for 3D Object Detection in Point Clouds
- CenterNet3D:An Anchor free Object Detector for Autonomous Driving
- (Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection
- Weakly Supervised 3D Object Detection from Point Clouds - Qin/Weakly-Supervised-3D-Object-Detection) | ACM MM2020 | I+L |
- RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image Representation
- Multi-View Adaptive Fusion Network for 3D Object Detection
- Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds
- A Density-Aware PointRCNN for 3D Objection Detection in Point Clouds
- CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud - SSD) | AAAI2021 | L |
- It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection
- Self-Attention Based Context-Aware 3D Object Detection - cloud/SA-Det3D) | arxiv2020 | L |
- RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection
- HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection
- SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
- To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels
- SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud
- PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars
- DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization - det) | arxiv2021.07 | L |
- VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion
- Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving
- Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
- mmdetection3d
- OpenPCDet - based 3D scene perception in **Pytorch**.
- Det3d
- second.pytorch
- CenterPoint - based 3D Object Detection and Tracking*" in **Pytorch**.
- SA-SSD - SSD: *Structure Aware Single-stage 3D Object Detection from Point Cloud*" in **pytorch**
- 3DSSD - based 3D Single Stage Object Detector* " in **Tensorflow**.
- Point-GNN - GNN: Graph Neural Network for 3D Object Detection in a Point Cloud" in **Tensorflow**.
- TANet
- Complex-YOLOv4-pytorch - YOLO: Real-time 3D Object Detection on Point Clouds)" in **pytorch**.
- EPNet
- Super Fast and Accurate 3D Detector
Programming Languages
Keywords
3d-object-detection
4
object-detection
4
point-cloud
2
pytorch
2
3d-detection
2
autonomous-driving
1
pv-rcnn
1
kitti
1
nuscenes
1
voxelnet
1
complex-yolo
1
data-parallel-computing
1
giou
1
lidar
1
lidar-point-cloud
1
mish
1
mosaic
1
multiprocessing
1
real-time
1
rotated-boxes
1
rotated-boxes-iou
1
yolov4
1
kitti-3d
1
multimodal
1