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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