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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
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