Collections:
  - Name: PointNet++
    Metadata:
      Training Techniques:
        - Adam
      Training Resources: 2x Titan XP GPUs
      Architecture:
        - PointNet++
    Paper:
      URL: https://arxiv.org/abs/1706.02413
      Title: 'PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space'
    README: configs/pointnet2/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/backbones/pointnet2_sa_ssg.py#L12
      Version: v0.14.0

Models:
  - Name: pointnet2_ssg_2xb16-cosine-200e_scannet-seg-xyz-only.py
    In Collection: PointNet++
    Config: configs/pointnet/pointnet2_ssg_2xb16-cosine-200e_scannet-seg-xyz-only.py
    Metadata:
      Training Data: ScanNet
      Training Memory (GB): 1.9
    Results:
      - Task: 3D Semantic Segmentation
        Dataset: ScanNet
        Metrics:
          mIoU: 53.91
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_ssg_xyz-only_16x2_cosine_200e_scannet_seg-3d-20class/pointnet2_ssg_xyz-only_16x2_cosine_200e_scannet_seg-3d-20class_20210514_143628-4e341a48.pth

  - Name: pointnet2_ssg_2xb16-cosine-200e_scannet-seg.py
    In Collection: PointNet++
    Config: configs/pointnet/pointnet2_ssg_2xb16-cosine-200e_scannet-seg.py
    Metadata:
      Training Data: ScanNet
      Training Memory (GB): 1.9
    Results:
      - Task: 3D Semantic Segmentation
        Dataset: ScanNet
        Metrics:
          mIoU: 54.44
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_ssg_16x2_cosine_200e_scannet_seg-3d-20class/pointnet2_ssg_16x2_cosine_200e_scannet_seg-3d-20class_20210514_143644-ee73704a.pth

  - Name: pointnet2_msg_2xb16-cosine-250e_scannet-seg-xyz-only.py
    In Collection: PointNet++
    Config: configs/pointnet/pointnet2_msg_2xb16-cosine-250e_scannet-seg-xyz-only.py
    Metadata:
      Training Data: ScanNet
      Training Memory (GB): 2.4
    Results:
      - Task: 3D Semantic Segmentation
        Dataset: ScanNet
        Metrics:
          mIoU: 54.26
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_msg_xyz-only_16x2_cosine_250e_scannet_seg-3d-20class/pointnet2_msg_xyz-only_16x2_cosine_250e_scannet_seg-3d-20class_20210514_143838-b4a3cf89.pth

  - Name: pointnet2_msg_2xb16-cosine-250e_scannet-seg.py
    In Collection: PointNet++
    Config: configs/pointnet/pointnet2_msg_2xb16-cosine-250e_scannet-seg.py
    Metadata:
      Training Data: ScanNet
      Training Memory (GB): 2.4
    Results:
      - Task: 3D Semantic Segmentation
        Dataset: ScanNet
        Metrics:
          mIoU: 55.05
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_msg_16x2_cosine_250e_scannet_seg-3d-20class/pointnet2_msg_16x2_cosine_250e_scannet_seg-3d-20class_20210514_144009-24477ab1.pth

  - Name: pointnet2_ssg_2xb16-cosine-50e_s3dis-seg.py
    In Collection: PointNet++
    Config: configs/pointnet/pointnet2_ssg_2xb16-cosine-50e_s3dis-seg.py
    Metadata:
      Training Data: S3DIS
      Training Memory (GB): 3.6
    Results:
      - Task: 3D Semantic Segmentation
        Dataset: S3DIS
        Metrics:
          mIoU: 56.93
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_ssg_16x2_cosine_50e_s3dis_seg-3d-13class/pointnet2_ssg_16x2_cosine_50e_s3dis_seg-3d-13class_20210514_144205-995d0119.pth

  - Name: pointnet2_msg_2xb16-cosine-80e_s3dis-seg.py
    In Collection: PointNet++
    Config: configs/pointnet/pointnet2_msg_2xb16-cosine-80e_s3dis-seg.py
    Metadata:
      Training Data: S3DIS
      Training Memory (GB): 3.6
    Results:
      - Task: 3D Semantic Segmentation
        Dataset: S3DIS
        Metrics:
          mIoU: 58.04
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_msg_16x2_cosine_80e_s3dis_seg-3d-13class/pointnet2_msg_16x2_cosine_80e_s3dis_seg-3d-13class_20210514_144307-b2059817.pth
