Collections:
  - Name: MVX-Net
    Metadata:
      Training Data: KITTI
      Training Techniques:
        - AdamW
      Training Resources: 8x V100 GPUs
      Architecture:
        - Feature Pyramid Network
        - Dynamic Voxelization
    Paper:
      URL: https://arxiv.org/abs/1904.01649
      Title: 'MVX-Net: Multimodal VoxelNet for 3D Object Detection'
    README: configs/mvxnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/mvx_two_stage.py#L20
      Version: v0.5.0

Models:
  - Name: dv_mvx-fpn_second_secfpn_adamw_2x8_80e_kitti-3d-3class
    In Collection: MVX-Net
    Config: configs/mvxnet/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class.py
    Metadata:
      Training Memory (GB): 6.7
    Results:
      - Task: 3D Object Detection
        Dataset: KITTI
        Metrics:
          mAP: 63.22
    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/mvxnet/dv_mvx-fpn_second_secfpn_adamw_2x8_80e_kitti-3d-3class/dv_mvx-fpn_second_secfpn_adamw_2x8_80e_kitti-3d-3class_20210831_060805-83442923.pth
