Collections:
  - Name: FP16
    Metadata:
      Training Techniques:
        - AdamW
        - Mixed Precision Training
      Training Resources: 8x TITAN Xp
      Architecture:
        - Hard Voxelization
    Paper:
      - https://www.mdpi.com/1424-8220/18/10/3337
      - https://arxiv.org/abs/1812.05784
    README: configs/fp16/README.md

Models:
  - Name: hv_second_secfpn_fp16_6x8_80e_kitti-3d-car
    In Collection: FP16
    Config: configs/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-car.py
    Metadata:
      Training Data: KITTI
      Training Memory (GB): 2.9
    Results:
      - Task: 3D Object Detection
        Dataset: KITTI
        Metrics:
          FP16 mAP: 78.72
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-car/hv_second_secfpn_fp16_6x8_80e_kitti-3d-car_20200924_211301-1f5ad833.pth

  - Name: hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class
    In Collection: FP16
    Config: configs/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py
    Metadata:
      Training Data: KITTI
      Training Memory (GB): 2.9
    Results:
      - Task: 3D Object Detection
        Dataset: KITTI
        Metrics:
          FP16 mAP: 67.4
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class_20200925_110059-05f67bdf.pth

  - Name: hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d
    In Collection: FP16
    Config: configs/fp16/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d.py
    Metadata:
      Training Data: nuScenes
      Training Memory (GB): 8.37
    Results:
      - Task: 3D Object Detection
        Dataset: nuScenes
        Metrics:
          FP16 mAP: 35.19
          FP16 NDS: 50.27
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d_20201020_222626-c3f0483e.pth

  - Name: hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d
    In Collection: FP16
    Config: configs/fp16/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d.py
    Metadata:
      Training Data: nuScenes
      Training Memory (GB): 8.40
    Results:
      - Task: 3D Object Detection
        Dataset: nuScenes
        Metrics:
          FP16 mAP: 39.26
          FP16 NDS: 53.26
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d_20201021_120719-269f9dd6.pth
