Collections:
  - Name: Cylinder3D
    Metadata:
      Training Techniques:
        - AdamW
      Training Resources: 4x A100 GPUs
      Architecture:
        - Cylinder3D
    Paper:
      URL: https://arxiv.org/abs/2011.10033
      Title: 'Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation'
    README: configs/cylinder3d/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection3d/blob/dev-1.x/mmdet3d/models/segmentors/cylinder3d.py#L13
      Version: v1.1.0

Models:
  - Name:
    In Collection: Cylinder3D
    Config: configs/cylinder3d/cylinder3d_4xb4_3x_semantickitti.py
    Metadata:
      Training Data: SemanticKITTI
      Training Memory (GB): 10.2
    Results:
      - Task: 3D Semantic Segmentation
        Dataset: SemanticKITTI
        Metrics:
          mIOU: 63.1
    Weights: