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add available code for each paper
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Hub-Tian committed Jul 30, 2020
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Expand Up @@ -11,51 +11,51 @@ This is a paper and code list of some awesome 3D detection methods. We mainly co
| Title | Pub. | Input |
| ------------------------------------------------------------ | ------------------ | ----- |
| **MV3D** (Multi-View 3D Object Detection Network for Autonomous Driving) | CVPR2017 | I+L |
| **F-PointNet** (Frustum PointNets for 3D Object Detection from RGB-D Data) | CVPR2018 | I+L |
| **F-PointNet** (Frustum PointNets for 3D Object Detection from RGB-D Data) [code](https://github.com/charlesq34/frustum-pointnets) | CVPR2018 | I+L |
| **VoxelNet** (VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection) | CVPR2018 | L |
| **PIXOR** (PIXOR: Real-time 3D Object Detection from Point Clouds) | CVPR2018 | L |
| **AVOD** (Joint 3D Proposal Generation and Object Detection from View Aggregation) | IROS2018 | I+L |
| **PIXOR** (PIXOR: Real-time 3D Object Detection from Point Clouds) [code](https://github.com/philip-huang/PIXOR) | CVPR2018 | L |
| **AVOD** (Joint 3D Proposal Generation and Object Detection from View Aggregation) [code](https://github.com/kujason/avod) | IROS2018 | I+L |
| **ContFusion** (Deep Continuous Fusion for Multi-Sensor 3D Object Detection) | ECCV2018 | I+L |
| **SECOND** (SECOND: Sparsely Embedded Convolutional Detection) | Sensors 2018 | L |
| **Complex-YOLO** (Complex-YOLO: Real-time 3D Object Detection on Point Clouds) | Axiv2018 | L |
| **FBF**(Fusing Bird’s Eye View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection) | Arxiv2018 | I+L |
| **RoarNet** (RoarNet: A Robust 3D Object Detection based on Region Approximation Refinement) | IV2019 | I+L |
| **PVCNN** (Point-Voxel CNN for Efficient 3D Deep Learning) | NIPS2019 | L |
| **MMF** (Multi-Task Multi-Sensor Fusion for 3D Object Detection) | CVPR2019 | I+L |
| **PointPillars** (PointPillars: Fast Encoders for Object Detection from Point Clouds) | CVPR2019 | L |
| **Point RCNN** (PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud) | CVPR2019 | L |
| **SECOND** (SECOND: Sparsely Embedded Convolutional Detection) [code](https://github.com/traveller59/second.pytorch) | Sensors 2018 | L |
| **Complex-YOLO** (Complex-YOLO: Real-time 3D Object Detection on Point Clouds) [code](https://github.com/AI-liu/Complex-YOLO) | Axiv2018 | L |
| **FBF**(Fusing Bird’s Eye View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection)[code](https://github.com/ZiningWang/Sparse_Pooling) | Arxiv2018 | I+L |
| **RoarNet** (RoarNet: A Robust 3D Object Detection based on Region Approximation Refinement) [code](https://github.com/reinforcementdriving/RoarNet) | IV2019 | I+L |
| **PVCNN** (Point-Voxel CNN for Efficient 3D Deep Learning) [code](https://github.com/mit-han-lab/pvcnn) | NIPS2019 | L |
| **MMF**[](https://github.com/facebookresearch/votenet) (Multi-Task Multi-Sensor Fusion for 3D Object Detection) | CVPR2019 | I+L |
| **PointPillars** (PointPillars: Fast Encoders for Object Detection from Point Clouds) [code](https://github.com/traveller59/second.pytorch) | CVPR2019 | L |
| **Point RCNN** (PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud) [code](https://github.com/open-mmlab/OpenPCDet) | CVPR2019 | L |
| **LaserNet** (LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving) | CVPR2019 | L |
| **LaserNet++** (Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation) | CVPR2019 | I+L |
| **Fast PointRCNN **(Fast PointRCNN) | ICCV2019 | L |
| **STD** (STD: Sparse-to-Dense 3D Object Detector for Point Cloud) | ICCV2019 | L |
| **VoteNet** (Deep Hough Voting for 3D Object Detection in Point Clouds) | ICCV2019 | L |
| **MVX**-Net (MVX-Net: Multimodal VoxelNet for 3D Object Detection) | ICRA2019 | I+L |
| **VoteNet** (Deep Hough Voting for 3D Object Detection in Point Clouds) [code](https://github.com/facebookresearch/votenet) | ICCV2019 | L |
| **MVX-Net** (MVX-Net: Multimodal VoxelNet for 3D Object Detection) [code](https://github.com/open-mmlab/mmdetection3d) | ICRA2019 | I+L |
| **Patchs** (Patch Refinement - Localized 3D Object Detection) | Arxiv2019 | L |
| **StarNet** (StarNet: Targeted Computation for Object Detection in Point Clouds) | Arxiv2019 | L |
| **StarNet** (StarNet: Targeted Computation for Object Detection in Point Clouds) [code](https://github.com/ModelBunker/StarNet-PyTorch) | Arxiv2019 | L |
| **F-ConvNet** (Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection) | IROS2019 | I+L |
| **PI-RCNN**: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module | AAAI2020 | I+L |
| **TANet** (TANet: Robust 3D Object Detection from Point Clouds with Triple Attention) | AAAI2020 | L |
| **MVF** (End-to-end multi-view fusion for 3d object detection in lidar point clouds) | ICRL2020 | L |
| **PI-RCNN**An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module | AAAI2020 | I+L |
| **TANet** (TANet: Robust 3D Object Detection from Point Clouds with Triple Attention) [code](https://github.com/happinesslz/TANet) | AAAI2020 | L |
| **MVF** (End-to-end multi-view fusion for 3d object detection in lidar point clouds) [code](https://github.com/Fanziapril/mvfnet) | ICRL2020 | L |
| **SegVoxelNet** (SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud) | ICRA2020 | L |
| **Voxel-FPN** (Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds) | Sensors 2020 | L |
| **AA3D** (Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection) | Neurocomputing2020 | I+L |
| **Part A^2** (Part-A^ 2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud) | TPAMI2020 | L |
| **PV-RCNN** (PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection) | CVPR2020 | L |
| **3D SSD** (3DSSD: Point-based 3D Single Stage Object Detector) | CVPR2020 | L |
| **Associate-3Ddet** (Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection) | CVPR2020 | L |
| **HVNet** (HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection) | CVPR2020 | L |
| **Part A^2** (Part-A^ 2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud) [code](https://github.com/open-mmlab/OpenPCDet) | TPAMI2020 | L |
| **PV-RCNN** (PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection) [code](https://github.com/open-mmlab/OpenPCDet) | CVPR2020 | L |
| **3D SSD** (3DSSD: Point-based 3D Single Stage Object Detector) [code](https://github.com/Jia-Research-Lab/3DSSD) | CVPR2020 | L |
| **Associate-3Ddet** (Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection) [code](https://github.com/dleam/Associate-3Ddet) | CVPR2020 | L |
| **HVNet** (HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection) [code](https://github.com/AndyYuan96/HVNet) | CVPR2020 | L |
| **ImVoteNet** (ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes) | CVPR2020 | I+L |
| **Point GNN** (Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud) | CVPR2020 | L |
| **SA-SSD** (Structure Aware Single-stage 3D Object Detection from Point Cloud) | CVPR2020 | L |
| **SA-SSD** (Structure Aware Single-stage 3D Object Detection from Point Cloud) [code](https://github.com/skyhehe123/SA-SSD) | CVPR2020 | L |
| (What You See is What You Get: Exploiting Visibility for 3D Object Detection) | CVPR2020 | L |
| **DOPS** (DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes) | CVPR2020 | L |
| **3D IoU-Net** (3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds) | Arxiv2020 | L |
| **3D CVF** (3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection) | ECCV2020 | I+L |
| **HotSpotNet** (Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots) | ECCV2020 | L |
| **EPNet**: (EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection) | ECCV2020 | I+L |
| **EPNet**: (EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection) [code](https://github.com/happinesslz/EPNet) | ECCV2020 | I+L |
| Weakly Supervised 3D Object Detection from Lidar Point Cloud | ECCV2020 | L |
| **SSN** (SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds) | Arxiv2020 | L |
| **CenterPoint** (Center-based 3D Object Detection and Tracking) | Arxiv2020 | L |
| **CenterPoint** (Center-based 3D Object Detection and Tracking) [code](https://github.com/tianweiy/CenterPoint) | Arxiv2020 | L |
| **AFDet** (AFDet: Anchor Free One Stage 3D Object Detection) | Waymo2020 | L |
| **LGR-Net** (Local Grid Rendering Networks for 3D Object Detection in Point Clouds) | arxiv2020.07 | L |
| **CenterNet3D** (CenterNet3D:An Anchor free Object Detector for Autonomous Driving) | arxiv2020.07 | L |
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