metafile.yml

Collections:
  - Name: SPVCNN
    Metadata:
      Training Techniques:
        - AdamW
      Architecture:
        - SPVCNN
    Paper:
      URL: https://arxiv.org/abs/2007.16100
      Title: 'Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution'
    README: configs/spvcnn/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection3d/blob/1.1/mmdet3d/models/backbones/spvcnn_backone.py#L22
      Version: v1.1.0

Models:
  - Name: spvcnn_w16_8xb2-amp-15e_semantickitti
    In Collection: SPVCNN
    Config: configs/spvcnn/spvcnn_w16_8xb2-amp-15e_semantickitti.py
    Metadata:
      Training Data: SemanticKITTI
      Training Memory (GB): 3.9
      Training Resources: 8x A100 GPUs
    Results:
      - Task: 3D Semantic Segmentation
        Dataset: SemanticKITTI
        Metrics:
          mIOU: 61.7
    Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/spvcnn/spvcnn_w16_8xb2-15e_semantickitti/spvcnn_w16_8xb2-15e_semantickitti_20230321_011645-a2734d85.pth

  - Name: spvcnn_w20_8xb2-amp-15e_semantickitti
    In Collection: SPVCNN
    Config: configs/spvcnn/spvcnn_w20_8xb2-amp-15e_semantickitti.py
    Metadata:
      Training Data: SemanticKITTI
      Training Memory (GB): 4.2
      Training Resources: 8x A100 GPUs
    Results:
      - Task: 3D Semantic Segmentation
        Dataset: SemanticKITTI
        Metrics:
          mIOU: 62.9
    Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/spvcnn/spvcnn_w20_8xb2-15e_semantickitti/spvcnn_w20_8xb2-15e_semantickitti_20230321_011649-519e7eff.pth

  - Name: spvcnn_w32_8xb2-amp-15e_semantickitti
    In Collection: SPVCNN
    Config: configs/spvcnn/spvcnn_w32_8xb2-amp-15e_semantickitti.py
    Metadata:
      Training Data: SemanticKITTI
      Training Memory (GB): 5.4
      Training Resources: 8x A100 GPUs
    Results:
      - Task: 3D Semantic Segmentation
        Dataset: SemanticKITTI
        Metrics:
          mIOU: 64.3
    Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/spvcnn/spvcnn_w32_8xb2-15e_semantickitti/spvcnn_w32_8xb2-15e_semantickitti_20230308_113324-f7c0c5b4.pth

  - Name: spvcnn_w32_8xb2-amp-laser-polar-mix-3x_semantickitti
    In Collection: SPVCNN
    Config: configs/spvcnn/spvcnn_w32_8xb2-amp-laser-polar-mix-3x_semantickitti.py
    Metadata:
      Training Data: SemanticKITTI
      Training Memory (GB): 7.2
      Training Resources: 8x A100 GPUs
    Results:
      - Task: 3D Semantic Segmentation
        Dataset: SemanticKITTI
        Metrics:
          mIOU: 64.3
    Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/spvcnn/spvcnn_w32_8xb2-amp-laser-polar-mix-3x_semantickitti_20230425_125908-d68a68b7.pth