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  "author": "Jinkuan Zhu",
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  "author_email": "",
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    "https://doi.org/10.48550/arXiv.2005.00419"

            
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  "doi_date_published": "2024-12-02",
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    {
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    {
            
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      "extra_author": "Hao Huang",
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    },
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    {
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    {
            
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      "extra_author": "Qiao Deng",
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      "extra_author": "Ziwei Liu",
            
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      "orcid": ""
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    },
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    {
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    {
            
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      "extra_author": "Ping Luo",
            
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      "orcid": ""
            
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    {
            
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      "extra_author": "Xiyao Li",
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      "extra_author": "Xiaoou Tang",
            
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  "name": "deepfashion",
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  "notes": "Fashion image retrieval task aims to search relevant 
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  "notes": "Deepfashion: Powering robust clothes recognition and 
            
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clothing items of a query image from the gallery. The previous recipes 
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focus on designing different distance-based loss functions, pulling 

            
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  "title": "DeepFashion",
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  "title": "Deepfashion",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}