Collections:
  - Name: DGCNN
    Metadata:
      Training Techniques:
        - SGD
      Training Resources: 4x Titan XP GPUs
      Architecture:
        - DGCNN
    Paper: https://arxiv.org/abs/1801.07829
    README: configs/dgcnn/README.md

Models:
  - Name: dgcnn_4xb32-cosine-100e_s3dis-seg.py
    In Collection: DGCNN
    Config: configs/dgcnn/dgcnn_4xb32-cosine-100e_s3dis-seg.py
    Metadata:
      Training Data: S3DIS
      Training Memory (GB): 13.3
    Results:
      - Task: 3D Semantic Segmentation
        Dataset: S3DIS
        Metrics:
          mIoU: 50.59
    Weights: https://download.openmmlab.com/mmdetection3d/v0.17.0_models/dgcnn/dgcnn_32x4_cosine_100e_s3dis_seg-3d-13class/area5/dgcnn_32x4_cosine_100e_s3dis_seg-3d-13class_20210730_235824-f277e0c5.pth