86 lines
3.4 KiB
YAML
86 lines
3.4 KiB
YAML
Collections:
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- Name: PIDNet
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License: Apache License 2.0
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Metadata:
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Training Data:
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- Cityscapes
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Paper:
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Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller'
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URL: https://arxiv.org/pdf/2206.02066.pdf
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README: configs/pidnet/README.md
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Frameworks:
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- PyTorch
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Models:
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- Name: pidnet-s_2xb6-120k_1024x1024-cityscapes
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In Collection: PIDNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.74
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mIoU(ms+flip): 80.87
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Config: configs/pidnet/pidnet-s_2xb6-120k_1024x1024-cityscapes.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 12
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Architecture:
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- PIDNet-S
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- PIDNet
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Training Resources: 2x A100 GPUS
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Memory (GB): 3.38
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-s_2xb6-120k_1024x1024-cityscapes/pidnet-s_2xb6-120k_1024x1024-cityscapes_20230302_191700-bb8e3bcc.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-s_2xb6-120k_1024x1024-cityscapes/pidnet-s_2xb6-120k_1024x1024-cityscapes_20230302_191700.json
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Paper:
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Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller'
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URL: https://arxiv.org/pdf/2206.02066.pdf
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Code: https://github.com/open-mmlab/mmsegmentation/blob/main/mmseg/models/backbones/pidnet.py
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Framework: PyTorch
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- Name: pidnet-m_2xb6-120k_1024x1024-cityscapes
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In Collection: PIDNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 80.22
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mIoU(ms+flip): 82.05
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Config: configs/pidnet/pidnet-m_2xb6-120k_1024x1024-cityscapes.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 12
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Architecture:
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- PIDNet-M
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- PIDNet
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Training Resources: 2x A100 GPUS
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Memory (GB): 5.14
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-m_2xb6-120k_1024x1024-cityscapes/pidnet-m_2xb6-120k_1024x1024-cityscapes_20230301_143452-f9bcdbf3.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-m_2xb6-120k_1024x1024-cityscapes/pidnet-m_2xb6-120k_1024x1024-cityscapes_20230301_143452.json
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Paper:
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Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller'
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URL: https://arxiv.org/pdf/2206.02066.pdf
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Code: https://github.com/open-mmlab/mmsegmentation/blob/main/mmseg/models/backbones/pidnet.py
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Framework: PyTorch
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- Name: pidnet-l_2xb6-120k_1024x1024-cityscapes
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In Collection: PIDNet
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Results:
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Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 80.89
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mIoU(ms+flip): 82.37
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Config: configs/pidnet/pidnet-l_2xb6-120k_1024x1024-cityscapes.py
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Metadata:
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Training Data: Cityscapes
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Batch Size: 12
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Architecture:
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- PIDNet-L
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- PIDNet
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Training Resources: 2x A100 GPUS
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Memory (GB): 5.83
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-l_2xb6-120k_1024x1024-cityscapes/pidnet-l_2xb6-120k_1024x1024-cityscapes_20230303_114514-0783ca6b.pth
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-l_2xb6-120k_1024x1024-cityscapes/pidnet-l_2xb6-120k_1024x1024-cityscapes_20230303_114514.json
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Paper:
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Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller'
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URL: https://arxiv.org/pdf/2206.02066.pdf
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Code: https://github.com/open-mmlab/mmsegmentation/blob/main/mmseg/models/backbones/pidnet.py
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Framework: PyTorch
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