metafile.yml

Collections:
  - Name: Part-A^2
    Metadata:
      Training Data: KITTI
      Training Techniques:
        - AdamW
      Training Resources: 8x V100 GPUs
      Architecture:
        - Sparse U-Net
    Paper: https://arxiv.org/abs/1907.03670
    README: configs/parta2/README.md

Models:
  - Name: hv_PartA2_secfpn_2x8_cyclic_80e_kitti-3d-3class
    In Collection: Part-A^2
    Config: configs/parta2/hv_PartA2_secfpn_2x8_cyclic_80e_kitti-3d-3class.py
    Metadata:
      Training Memory (GB): 4.1
    Results:
      - Task: 3D Object Detection
        Dataset: KITTI
        Metrics:
          mAP: 67.9
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/parta2/hv_PartA2_secfpn_2x8_cyclic_80e_kitti-3d-3class/hv_PartA2_secfpn_2x8_cyclic_80e_kitti-3d-3class_20200620_230724-a2672098.pth

  - Name: hv_PartA2_secfpn_2x8_cyclic_80e_kitti-3d-car
    In Collection: Part-A^2
    Config: configs/parta2/hv_PartA2_secfpn_2x8_cyclic_80e_kitti-3d-car.py
    Metadata:
      Training Memory (GB): 4.0
    Results:
      - Task: 3D Object Detection
        Dataset: KITTI
        Metrics:
          mAP: 79.16
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/parta2/hv_PartA2_secfpn_2x8_cyclic_80e_kitti-3d-car/hv_PartA2_secfpn_2x8_cyclic_80e_kitti-3d-car_20200620_230755-f2a38b9a.pth