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      "extra_author": "Wenhai Wang",
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      "extra_author": "Zhiding Yu",
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    },
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      "extra_author": "Jose M. Alvarez",
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    },
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    {
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      "extra_author": "Ping Luo",
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      "extra_author": "Ping Luo",
            
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      "orcid": ""
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ple-and-efficient-design-for-semantic-segmentation-with-transformers",
            
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  "notes": "Semantic segmentation is a fundamental task in computer 
            
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vision and enables many downstream applications. It is related to 
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vision and enables many downstream applications. It is related to 
            
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image classification since it produces per-pixel category prediction 
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image classification since it produces per-pixel category prediction 
            
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instead of image-level prediction.",
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instead of image-level prediction.",
            
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  "title": "SegFormer: Simple and Efficient Design for Semantic 
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  "title": "SegFormer: Simple and Efficient Design for Semantic 
            
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Segmentation with Transformers",
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Segmentation with Transformers",
            
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