Collections:
  - Name: PointPillars
    Metadata:
      Training Techniques:
        - AdamW
      Architecture:
        - Feature Pyramid Network
    Paper: https://arxiv.org/abs/1812.05784
    README: configs/pointpillars/README.md

Models:
  - Name: hv_pointpillars_secfpn_6x8_160e_kitti-3d-car
    In Collection: PointPillars
    Config: configs/pointpillars/hv_pointpillars_secfpn_6x8_160e_kitti-3d-car.py
    Metadata:
      Training Data: KITTI
      Training Memory (GB): 5.4
      Training Resources: 8x V100 GPUs
    Results:
      - Task: 3D Object Detection
        Dataset: KITTI
        Metrics:
          AP: 77.1
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_6x8_160e_kitti-3d-car/hv_pointpillars_secfpn_6x8_160e_kitti-3d-car_20200620_230614-77663cd6.pth

  - Name: hv_pointpillars_secfpn_6x8_160e_kitti-3d-3class
    In Collection: PointPillars
    Config: configs/pointpillars/hv_pointpillars_secfpn_6x8_160e_kitti-3d-3class.py
    Metadata:
      Training Data: KITTI
      Training Memory (GB): 5.5
      Training Resources: 8x V100 GPUs
    Results:
      - Task: 3D Object Detection
        Dataset: KITTI
        Metrics:
          AP: 59.5
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_6x8_160e_kitti-3d-3class/hv_pointpillars_secfpn_6x8_160e_kitti-3d-3class_20200620_230421-aa0f3adb.pth

  - Name: hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d
    In Collection: PointPillars
    Config: configs/pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d.py
    Metadata:
      Training Data: nuScenes
      Training Memory (GB): 16.4
      Training Resources: 8x V100 GPUs
    Results:
      - Task: 3D Object Detection
        Dataset: nuScenes
        Metrics:
          mAP: 35.17
          NDS: 49.7
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d_20200620_230725-0817d270.pth

  - Name: hv_pointpillars_fpn_sbn-all_4x8_2x_nus-3d
    In Collection: PointPillars
    Config: configs/pointpillars/hv_pointpillars_fpn_sbn-all_4x8_2x_nus-3d.py
    Metadata:
      Training Data: nuScenes
      Training Memory (GB): 16.4
      Training Resources: 8x V100 GPUs
    Results:
      - Task: 3D Object Detection
        Dataset: nuScenes
        Metrics:
          mAP: 40.0
          NDS: 53.3
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_fpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_fpn_sbn-all_4x8_2x_nus-3d_20200620_230405-2fa62f3d.pth

  - Name: hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d
    In Collection: PointPillars
    Config: configs/pointpillars/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d.py
    Metadata:
      Training Data: Lyft
      Training Memory (GB): 12.2
      Training Resources: 8x V100 GPUs
    Results:
      - Task: 3D Object Detection
        Dataset: Lyft
        Metrics:
          Private Score: 13.9
          Public Score: 14.1
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d_20210517_204807-2518e3de.pth

  - Name: hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d
    In Collection: PointPillars
    Config: configs/pointpillars/hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d.py
    Metadata:
      Training Data: Lyft
      Training Memory (GB): 9.2
      Training Resources: 8x V100 GPUs
    Results:
      - Task: 3D Object Detection
        Dataset: Lyft
        Metrics:
          Private Score: 14.9
          Public Score: 15.1
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d_20210517_202818-fc6904c3.pth

  - Name: hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-car
    In Collection: PointPillars
    Config: configs/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-car.py
    Metadata:
      Training Data: Waymo
      Training Memory (GB): 7.76
      Training Resources: 8x GeForce GTX 1080 Ti
    Results:
      - Task: 3D Object Detection
        Dataset: Waymo
        Metrics:
          mAP@L1: 70.2
          mAPH@L1: 69.6
          mAP@L2: 62.6
          mAPH@L2: 62.1
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-car/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-car_20200901_204315-302fc3e7.pth

  - Name: hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class
    In Collection: PointPillars
    Config: configs/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class.py
    Metadata:
      Training Data: Waymo
      Training Memory (GB): 8.12
      Training Resources: 8x GeForce GTX 1080 Ti
    Results:
      - Task: 3D Object Detection
        Dataset: Waymo
        Metrics:
          mAP@L1: 64.7
          mAPH@L1: 57.6
          mAP@L2: 58.4
          mAPH@L2: 52.1
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class_20200831_204144-d1a706b1.pth

  - Name: hv_pointpillars_secfpn_sbn_2x16_2x_waymo-3d-car
    In Collection: PointPillars
    Config: configs/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymo-3d-car.py
    Metadata:
      Training Data: Waymo
      Training Memory (GB): 7.76
      Training Resources: 8x GeForce GTX 1080 Ti
    Results:
      - Task: 3D Object Detection
        Dataset: Waymo
        Metrics:
          mAP@L1: 72.1
          mAPH@L1: 71.5
          mAP@L2: 63.6
          mAPH@L2: 63.1

  - Name: hv_pointpillars_secfpn_sbn_2x16_2x_waymo-3d-3class
    In Collection: PointPillars
    Config: configs/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymo-3d-3class.py
    Metadata:
      Training Data: Waymo
      Training Memory (GB): 8.12
      Training Resources: 8x GeForce GTX 1080 Ti
    Results:
      - Task: 3D Object Detection
        Dataset: Waymo
        Metrics:
          mAP@L1: 68.8
          mAPH@L1: 63.3
          mAP@L2: 62.6
          mAPH@L2: 57.6
