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
