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Collections: |
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- Name: EMANet |
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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: Expectation-Maximization Attention Networks for Semantic Segmentation |
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URL: https://arxiv.org/abs/1907.13426 |
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README: configs/emanet/README.md |
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Frameworks: |
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- PyTorch |
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Models: |
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- Name: eemanet_r50-d8_4xb2-80k_cityscapes-512x1024 |
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In Collection: EMANet |
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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: 77.59 |
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mIoU(ms+flip): 79.44 |
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Config: configs/emanet/eemanet_r50-d8_4xb2-80k_cityscapes-512x1024.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-50-D8 |
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- EMANet |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 5.4 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/emanet/emanet_r50-d8_512x1024_80k_cityscapes/emanet_r50-d8_512x1024_80k_cityscapes_20200901_100301-c43fcef1.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/emanet/emanet_r50-d8_512x1024_80k_cityscapes/emanet_r50-d8_512x1024_80k_cityscapes-20200901_100301.log.json |
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Paper: |
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Title: Expectation-Maximization Attention Networks for Semantic Segmentation |
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URL: https://arxiv.org/abs/1907.13426 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ema_head.py#L80 |
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Framework: PyTorch |
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- Name: emanet_r101-d8_4xb2-80k_cityscapes-512x1024 |
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In Collection: EMANet |
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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: 79.1 |
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mIoU(ms+flip): 81.21 |
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Config: configs/emanet/emanet_r101-d8_4xb2-80k_cityscapes-512x1024.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-101-D8 |
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- EMANet |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 6.2 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/emanet/emanet_r101-d8_512x1024_80k_cityscapes/emanet_r101-d8_512x1024_80k_cityscapes_20200901_100301-2d970745.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/emanet/emanet_r101-d8_512x1024_80k_cityscapes/emanet_r101-d8_512x1024_80k_cityscapes-20200901_100301.log.json |
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Paper: |
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Title: Expectation-Maximization Attention Networks for Semantic Segmentation |
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URL: https://arxiv.org/abs/1907.13426 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ema_head.py#L80 |
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Framework: PyTorch |
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- Name: emanet_r50-d8_4xb2-80k_cityscapes-769x769 |
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In Collection: EMANet |
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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: 79.33 |
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mIoU(ms+flip): 80.49 |
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Config: configs/emanet/emanet_r50-d8_4xb2-80k_cityscapes-769x769.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-50-D8 |
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- EMANet |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 8.9 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/emanet/emanet_r50-d8_769x769_80k_cityscapes/emanet_r50-d8_769x769_80k_cityscapes_20200901_100301-16f8de52.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/emanet/emanet_r50-d8_769x769_80k_cityscapes/emanet_r50-d8_769x769_80k_cityscapes-20200901_100301.log.json |
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Paper: |
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Title: Expectation-Maximization Attention Networks for Semantic Segmentation |
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URL: https://arxiv.org/abs/1907.13426 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ema_head.py#L80 |
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Framework: PyTorch |
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- Name: emanet_r101-d8_4xb2-80k_cityscapes-769x769 |
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In Collection: EMANet |
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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: 79.62 |
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mIoU(ms+flip): 81.0 |
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Config: configs/emanet/emanet_r101-d8_4xb2-80k_cityscapes-769x769.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-101-D8 |
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- EMANet |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 10.1 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/emanet/emanet_r101-d8_769x769_80k_cityscapes/emanet_r101-d8_769x769_80k_cityscapes_20200901_100301-47a324ce.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/emanet/emanet_r101-d8_769x769_80k_cityscapes/emanet_r101-d8_769x769_80k_cityscapes-20200901_100301.log.json |
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Paper: |
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Title: Expectation-Maximization Attention Networks for Semantic Segmentation |
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URL: https://arxiv.org/abs/1907.13426 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ema_head.py#L80 |
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Framework: PyTorch |
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