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snnetv2-semantic-segmentation
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Collections:
- Name: PIDNet
  License: Apache License 2.0
  Metadata:
    Training Data:
    - Cityscapes
  Paper:
    Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller'
    URL: https://arxiv.org/pdf/2206.02066.pdf
  README: configs/pidnet/README.md
  Frameworks:
  - PyTorch
Models:
- Name: pidnet-s_2xb6-120k_1024x1024-cityscapes
  In Collection: PIDNet
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 78.74
      mIoU(ms+flip): 80.87
  Config: configs/pidnet/pidnet-s_2xb6-120k_1024x1024-cityscapes.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 12
    Architecture:
    - PIDNet-S
    - PIDNet
    Training Resources: 2x A100 GPUS
    Memory (GB): 3.38
  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
  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
  Paper:
    Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller'
    URL: https://arxiv.org/pdf/2206.02066.pdf
  Code: https://github.com/open-mmlab/mmsegmentation/blob/main/mmseg/models/backbones/pidnet.py
  Framework: PyTorch
- Name: pidnet-m_2xb6-120k_1024x1024-cityscapes
  In Collection: PIDNet
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 80.22
      mIoU(ms+flip): 82.05
  Config: configs/pidnet/pidnet-m_2xb6-120k_1024x1024-cityscapes.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 12
    Architecture:
    - PIDNet-M
    - PIDNet
    Training Resources: 2x A100 GPUS
    Memory (GB): 5.14
  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
  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
  Paper:
    Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller'
    URL: https://arxiv.org/pdf/2206.02066.pdf
  Code: https://github.com/open-mmlab/mmsegmentation/blob/main/mmseg/models/backbones/pidnet.py
  Framework: PyTorch
- Name: pidnet-l_2xb6-120k_1024x1024-cityscapes
  In Collection: PIDNet
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 80.89
      mIoU(ms+flip): 82.37
  Config: configs/pidnet/pidnet-l_2xb6-120k_1024x1024-cityscapes.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 12
    Architecture:
    - PIDNet-L
    - PIDNet
    Training Resources: 2x A100 GPUS
    Memory (GB): 5.83
  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
  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
  Paper:
    Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller'
    URL: https://arxiv.org/pdf/2206.02066.pdf
  Code: https://github.com/open-mmlab/mmsegmentation/blob/main/mmseg/models/backbones/pidnet.py
  Framework: PyTorch