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Collections:
- Name: FastSCNN
License: Apache License 2.0
Metadata:
Training Data:
- Cityscapes
Paper:
Title: Fast-SCNN for Semantic Segmentation
URL: https://arxiv.org/abs/1902.04502
README: configs/fastscnn/README.md
Frameworks:
- PyTorch
Models:
- Name: fast_scnn_8xb4-160k_cityscapes-512x1024
In Collection: FastSCNN
Results:
Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 70.96
mIoU(ms+flip): 72.65
Config: configs/fastscnn/fast_scnn_8xb4-160k_cityscapes-512x1024.py
Metadata:
Training Data: Cityscapes
Batch Size: 32
Architecture:
- FastSCNN
- FastSCNN
Training Resources: 8x V100 GPUS
Memory (GB): 3.3
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/fast_scnn/fast_scnn_lr0.12_8x4_160k_cityscapes/fast_scnn_lr0.12_8x4_160k_cityscapes_20210630_164853-0cec9937.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/fast_scnn/fast_scnn_lr0.12_8x4_160k_cityscapes/fast_scnn_lr0.12_8x4_160k_cityscapes_20210630_164853.log.json
Paper:
Title: Fast-SCNN for Semantic Segmentation
URL: https://arxiv.org/abs/1902.04502
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/backbones/fast_scnn.py#L272
Framework: PyTorch
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