| Collections: | |
| - Name: PV-RCNN | |
| Metadata: | |
| Training Data: KITTI | |
| Training Techniques: | |
| - AdamW | |
| Training Resources: 8x A100 GPUs | |
| Architecture: | |
| - Feature Pyramid Network | |
| Paper: | |
| URL: https://arxiv.org/abs/1912.13192 | |
| Title: 'PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection' | |
| README: configs/pv_rcnn/README.md | |
| Code: | |
| URL: https://github.com/open-mmlab/mmdetection3d/blob/dev-1.x/mmdet3d/models/detectors/pv_rcnn.py#L12 | |
| Version: v1.1.0rc2 | |
| Models: | |
| - Name: pv_rcnn_8xb2-80e_kitti-3d-3class | |
| In Collection: PV-RCNN | |
| Config: configs/pv_rcnn/pv_rcnn_8xb2-80e_kitti-3d-3class.py | |
| Metadata: | |
| Training Memory (GB): 5.4 | |
| Results: | |
| - Task: 3D Object Detection | |
| Dataset: KITTI | |
| Metrics: | |
| mAP: 72.28 | |
| Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/pv_rcnn/pv_rcnn_8xb2-80e_kitti-3d-3class/pv_rcnn_8xb2-80e_kitti-3d-3class_20221117_234428-b384d22f.pth | |