A general pipeline in BEV lidar.
- VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection / paper / supplemental / VoxelNet
- SECOND: Sparsely Embedded Convolutional Detection / paper / project / Sensors 2018 / SECOND
- Center-Based 3D Object Detection and Tracking / paper / supplemental / project / CVPR 2021 / CenterPoint
- PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection / paper / project / CVPR 2020 / PV-RCNN
- PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection / paper / project / arXiv / PV-RCNN++
- Structure Aware Single-Stage 3D Object Detection From Point Cloud / paper / project / CVPR 2020 / SA-SSD
- Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection / paper / project / AAAI 2021 / Voxel R-CNN
- Object DGCNN: 3D Object Detection using Dynamic Graphs / paper / NeurIPS 2021 / DGCNN
- Voxel Transformer for 3D Object Detection paper / ICCV 2021 / VoTr
- Embracing Single Stride 3D Object Detector With Sparse Transformer / paper / supplemental / project / CVPR 2022 / SST
- AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds / paper / AAAI 2022 / AFDetV2
- PointPillars: Fast Encoders for Object Detection From Point Clouds / paper / CVPR 2019 / PointPillars
- InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling / paper / ECCV 2020 / InfoFocus
- M3DETR: Multi-Representation, Multi-Scale, Mutual-Relation 3D Object Detection With Transformers / paper / project / WACV 2022 / M3DETR