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metafile.yml
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Collections:
- Name: VoteNet
Metadata:
Training Techniques:
- AdamW
Training Resources: 8x V100 GPUs
Architecture:
- PointNet++
Paper:
URL: https://arxiv.org/abs/1904.09664
Title: 'Deep Hough Voting for 3D Object Detection in Point Clouds'
README: configs/votenet/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/detectors/votenet.py#L10
Version: v0.5.0
Models:
- Name: votenet_16x8_sunrgbd-3d-10class.py
In Collection: VoteNet
Config: configs/votenet/votenet_16x8_sunrgbd-3d-10class.py
Metadata:
Training Data: SUNRGBD
Training Memory (GB): 8.1
Results:
- Task: 3D Object Detection
Dataset: SUNRGBD
Metrics:
[email protected]: 59.78
[email protected]: 35.77
Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/votenet/votenet_16x8_sunrgbd-3d-10class/votenet_16x8_sunrgbd-3d-10class_20210820_162823-bf11f014.pth
- Name: votenet_8x8_scannet-3d-18class.py
In Collection: VoteNet
Config: configs/votenet/votenet_8x8_scannet-3d-18class.py
Metadata:
Training Data: ScanNet
Training Memory (GB): 4.1
Results:
- Task: 3D Object Detection
Dataset: ScanNet
Metrics:
[email protected]: 62.34
[email protected]: 40.82
Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/votenet/votenet_8x8_scannet-3d-18class/votenet_8x8_scannet-3d-18class_20210823_234503-cf8134fa.pth
- Name: votenet_iouloss_8x8_scannet-3d-18class
In Collection: VoteNet
Config: configs/votenet/votenet_iouloss_8x8_scannet-3d-18class.py
Metadata:
Training Data: ScanNet
Training Memory (GB): 4.1
Architecture:
- IoU Loss
Results:
- Task: 3D Object Detection
Dataset: ScanNet
Metrics:
[email protected]: 63.81
[email protected]: 44.21