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snnetv2-semantic-segmentation
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Collections:
- Name: DDRNet
  License: Apache License 2.0
  Metadata:
    Training Data:
    - Cityscapes
  Paper:
    Title: Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation
      of Road Scenes
    URL: http://arxiv.org/abs/2101.06085
  README: configs/ddrnet/README.md
  Frameworks:
  - PyTorch
Models:
- Name: ddrnet_23-slim_in1k-pre_2xb6-120k_cityscapes-1024x1024
  In Collection: DDRNet
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 77.84
      mIoU(ms+flip): 80.15
  Config: configs/ddrnet/ddrnet_23-slim_in1k-pre_2xb6-120k_cityscapes-1024x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 12
    Architecture:
    - DDRNet23-slim
    - DDRNet
    Training Resources: 2x A100 GPUS
    Memory (GB): 1.7
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ddrnet/ddrnet_23-slim_in1k-pre_2xb6-120k_cityscapes-1024x1024/ddrnet_23-slim_in1k-pre_2xb6-120k_cityscapes-1024x1024_20230426_145312-6a5e5174.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ddrnet/ddrnet_23-slim_in1k-pre_2xb6-120k_cityscapes-1024x1024/ddrnet_23-slim_in1k-pre_2xb6-120k_cityscapes-1024x1024_20230426_145312.json
  Paper:
    Title: Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation
      of Road Scenes
    URL: http://arxiv.org/abs/2101.06085
  Code: ''
  Framework: PyTorch
- Name: ddrnet_23_in1k-pre_2xb6-120k_cityscapes-1024x1024
  In Collection: DDRNet
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 79.99
      mIoU(ms+flip): 81.71
  Config: configs/ddrnet/ddrnet_23_in1k-pre_2xb6-120k_cityscapes-1024x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 12
    Architecture:
    - DDRNet23
    - DDRNet
    Training Resources: 2x A100 GPUS
    Memory (GB): 7.26
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/ddrnet/ddrnet_23_in1k-pre_2xb6-120k_cityscapes-1024x1024/ddrnet_23_in1k-pre_2xb6-120k_cityscapes-1024x1024_20230425_162633-81601db0.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/ddrnet/ddrnet_23_in1k-pre_2xb6-120k_cityscapes-1024x1024/ddrnet_23_in1k-pre_2xb6-120k_cityscapes-1024x1024_20230425_162633.json
  Paper:
    Title: Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation
      of Road Scenes
    URL: http://arxiv.org/abs/2101.06085
  Code: ''
  Framework: PyTorch