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metafile.yaml
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metafile.yaml
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Collections:
- Name: PointRend
License: Apache License 2.0
Metadata:
Training Data:
- Cityscapes
- ADE20K
Paper:
Title: 'PointRend: Image Segmentation as Rendering'
URL: https://arxiv.org/abs/1912.08193
README: configs/point_rend/README.md
Frameworks:
- PyTorch
Models:
- Name: pointrend_r50_4xb2-80k_cityscapes-512x1024
In Collection: PointRend
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 76.47
mIoU(ms+flip): 78.13
Config: configs/point_rend/pointrend_r50_4xb2-80k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-50
- PointRend
Training Resources: 4x V100 GPUS
Memory (GB): 3.1
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x1024_80k_cityscapes/pointrend_r50_512x1024_80k_cityscapes_20200711_015821-bb1ff523.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x1024_80k_cityscapes/pointrend_r50_512x1024_80k_cityscapes-20200715_214714.log.json
Paper:
Title: 'PointRend: Image Segmentation as Rendering'
URL: https://arxiv.org/abs/1912.08193
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/point_head.py#L36
Framework: PyTorch
- Name: pointrend_r101_4xb2-80k_cityscapes-512x1024
In Collection: PointRend
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 78.3
mIoU(ms+flip): 79.97
Config: configs/point_rend/pointrend_r101_4xb2-80k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 8
Architecture:
- R-101
- PointRend
Training Resources: 4x V100 GPUS
Memory (GB): 4.2
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x1024_80k_cityscapes/pointrend_r101_512x1024_80k_cityscapes_20200711_170850-d0ca84be.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x1024_80k_cityscapes/pointrend_r101_512x1024_80k_cityscapes-20200715_214824.log.json
Paper:
Title: 'PointRend: Image Segmentation as Rendering'
URL: https://arxiv.org/abs/1912.08193
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/point_head.py#L36
Framework: PyTorch
- Name: pointrend_r50_4xb4-160k_ade20k-512x512
In Collection: PointRend
Results:
Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 37.64
mIoU(ms+flip): 39.17
Config: configs/point_rend/pointrend_r50_4xb4-160k_ade20k-512x512.py
Metadata:
Training Data: ADE20K
Batch Size: 16
Architecture:
- R-50
- PointRend
Training Resources: 4x V100 GPUS
Memory (GB): 5.1
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x512_160k_ade20k/pointrend_r50_512x512_160k_ade20k_20200807_232644-ac3febf2.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x512_160k_ade20k/pointrend_r50_512x512_160k_ade20k-20200807_232644.log.json
Paper:
Title: 'PointRend: Image Segmentation as Rendering'
URL: https://arxiv.org/abs/1912.08193
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/point_head.py#L36
Framework: PyTorch
- Name: pointrend_r101_4xb4-160k_ade20k-512x512
In Collection: PointRend
Results:
Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 40.02
mIoU(ms+flip): 41.6
Config: configs/point_rend/pointrend_r101_4xb4-160k_ade20k-512x512.py
Metadata:
Training Data: ADE20K
Batch Size: 16
Architecture:
- R-101
- PointRend
Training Resources: 4x V100 GPUS
Memory (GB): 6.1
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x512_160k_ade20k/pointrend_r101_512x512_160k_ade20k_20200808_030852-8834902a.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x512_160k_ade20k/pointrend_r101_512x512_160k_ade20k-20200808_030852.log.json
Paper:
Title: 'PointRend: Image Segmentation as Rendering'
URL: https://arxiv.org/abs/1912.08193
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/point_head.py#L36
Framework: PyTorch