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Collections:
- Name: PAConv
Metadata:
Training Techniques:
- SGD
Training Resources: 8x Titan XP GPUs
Architecture:
- PAConv
Paper:
URL: https://arxiv.org/abs/2103.14635
Title: 'PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds'
README: configs/paconv/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/ops/paconv/paconv.py#L106
Version: v0.16.0
Models:
- Name: paconv_ssg_8xb8-cosine-150e_s3dis-seg.py
In Collection: PAConv
Config: configs/paconv/paconv_ssg_8xb8-cosine-150e_s3dis-seg.py
Metadata:
Training Data: S3DIS
Training Memory (GB): 5.8
Results:
- Task: 3D Semantic Segmentation
Dataset: S3DIS
Metrics:
mIoU: 66.65
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/paconv/paconv_ssg_8x8_cosine_150e_s3dis_seg-3d-13class/paconv_ssg_8x8_cosine_150e_s3dis_seg-3d-13class_20210729_200615-2147b2d1.pth
- Name: paconv_ssg-cuda_8xb8-cosine-200e_s3dis-seg
In Collection: PAConv
Config: configs/paconv/paconv_ssg-cuda_8xb8-cosine-200e_s3dis-seg.py
Metadata:
Training Data: S3DIS
Training Memory (GB): 5.8
Results:
- Task: 3D Semantic Segmentation
Dataset: S3DIS
Metrics:
mIoU: 66.65
Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/paconv/paconv_cuda_ssg_8x8_cosine_200e_s3dis_seg-3d-13class/paconv_cuda_ssg_8x8_cosine_200e_s3dis_seg-3d-13class_20210802_171802-e5ea9bb9.pth
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