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{
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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Xinyu Zhang",
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  "author": "Xinyu Zhang",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "defined_in": "",
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  "defined_in": "",
            
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  "doi": "10.57702/zytqwbtt",
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  "doi": "10.57702/zytqwbtt",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Jiahui Chen",
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      "extra_author": "Jiahui Chen",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Junkun Yuan",
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      "extra_author": "Junkun Yuan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Qiang Chen",
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      "extra_author": "Qiang Chen",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Jian Wang",
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      "extra_author": "Jian Wang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Xiaodi Wang",
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      "extra_author": "Xiaodi Wang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Shumin Han",
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      "extra_author": "Shumin Han",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Xiaokang Chen",
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      "extra_author": "Xiaokang Chen",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Jimin Pi",
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      "extra_author": "Jimin Pi",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Kun Yao",
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      "extra_author": "Kun Yao",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Junyu Han",
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      "extra_author": "Junyu Han",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Errui Ding",
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      "extra_author": "Errui Ding",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Jingdong Wang",
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      "extra_author": "Jingdong Wang",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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  ],
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "name": "image-classification",
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      "name": "image-classification",
            
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      "name": "object-detection",
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      "name": "object-detection",
            
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      "title": "Object Detection"
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      "title": "Object Detection"
            
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    {
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      "description": "",
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      "description": "",
            
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      "display_name": "Semantic Segmentation",
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      "display_name": "Semantic Segmentation",
            
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      "name": "semantic-segmentation",
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      "name": "semantic-segmentation",
            
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      "title": "Semantic Segmentation"
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      "title": "Semantic Segmentation"
            
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    }
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  "metadata_modified": "2024-12-03T07:55:29.969544",
            
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  "name": "cae-v2--context-autoencoder-with-clip-target",
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  "name": "cae-v2--context-autoencoder-with-clip-target",
            
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  "notes": "Masked image modeling (MIM) learns visual representation 
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  "notes": "Masked image modeling (MIM) learns visual representation 
            
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by masking and reconstructing image patches. Applying the 
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by masking and reconstructing image patches. Applying the 
            
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reconstruction supervision on the CLIP representation has been proven 
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reconstruction supervision on the CLIP representation has been proven 
            
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effective for MIM. However, it is still under-explored how CLIP 
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effective for MIM. However, it is still under-explored how CLIP 
            
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supervision in MIM influences performance.",
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supervision in MIM influences performance.",
            
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "CLIP",
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      "display_name": "CLIP",
            
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      "id": "b5ca1899-21f6-4744-b974-a72e6c60b3bb",
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      "id": "b5ca1899-21f6-4744-b974-a72e6c60b3bb",
            
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      "name": "CLIP",
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      "name": "CLIP",
            
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      "state": "active",
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Masked Image Modeling",
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      "display_name": "Masked Image Modeling",
            
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      "id": "d1ca2790-2b12-4e20-aeb1-2f02bbb71ae0",
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      "id": "d1ca2790-2b12-4e20-aeb1-2f02bbb71ae0",
            
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      "name": "Masked Image Modeling",
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      "name": "Masked Image Modeling",
            
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      "state": "active",
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      "state": "active",
            
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    },
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    {
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    {
            
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      "display_name": "Visual Representation",
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      "display_name": "Visual Representation",
            
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      "id": "53d09b45-1884-4808-9184-925057f1933a",
            
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      "name": "Visual Representation",
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      "name": "Visual Representation",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "CAE v2: Context Autoencoder with CLIP Target",
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  "title": "CAE v2: Context Autoencoder with CLIP Target",
            
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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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}