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README.md
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Swin Transformer achieves strong performance on COCO object detection (`58.7 box AP` and `51.1 mask AP` on test-dev) and
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ADE20K semantic segmentation (`53.5 mIoU` on val), surpassing previous models by a large margin.
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 and
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ADE20K semantic segmentation (`53.5 mIoU` on val), surpassing previous models by a large margin.
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
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## Main Results on ImageNet with Pretrained Models
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