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: cylinder3d_4xb4-3x_semantickitti 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: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/cylinder3d/cylinder3d_4xb4_3x_semantickitti/cylinder3d_4xb4_3x_semantickitti_20230318_191107-822a8c31.pth - Name: cylinder3d_8xb2-laser-polar-mix-3x_semantickitti In Collection: Cylinder3D Config: configs/cylinder3d/cylinder3d_8xb2-laser-polar-mix-3x_semantickitti.py Metadata: Training Data: SemanticKITTI Training Memory (GB): 12.8 Results: - Task: 3D Semantic Segmentation Dataset: SemanticKITTI Metrics: mIoU: 67.0 Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/cylinder3d/cylinder3d_4xb4_3x_semantickitti/cylinder3d_4xb4_3x_semantickitti_20230318_191107-822a8c31.pth