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  "author": "Zhaozhi Wang",
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  "author": "Zhaozhi Wang",
            
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      "extra_author": "Yue Liu",
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      "extra_author": "Yue Liu",
            
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    },
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      "extra_author": "Yunfan Liu",
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      "extra_author": "Yunfan Liu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "Hongtian Yu",
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      "extra_author": "Hongtian Yu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "Yaowei Wang",
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    },
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      "extra_author": "Qixiang Ye",
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      "extra_author": "Yunjie Tian",
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      "description": "",
            
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  "name": "vheat--building-vision-models-upon-heat-conduction",
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  "name": "vheat--building-vision-models-upon-heat-conduction",
            
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  "notes": "A fundamental problem in learning robust and expressive 
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  "notes": "A fundamental problem in learning robust and expressive 
            
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visual representations lies in efficiently estimating the spatial 
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visual representations lies in efficiently estimating the spatial 
            
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relationships of visual semantics throughout the entire image. In this 
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relationships of visual semantics throughout the entire image. In this 
            
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study, we propose vHeat, a novel vision backbone model that 
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study, we propose vHeat, a novel vision backbone model that 
            
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simultaneously achieves both high computational efficiency and global 
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simultaneously achieves both high computational efficiency and global 
            
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receptive field.",
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receptive field.",
            
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  "title": "vHeat: Building Vision Models upon Heat Conduction",
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  "title": "vHeat: Building Vision Models upon Heat Conduction",
            
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  "type": "dataset",
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}