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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Jianlong Hu",
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  "author": "Jianlong Hu",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "defined_in": "https://doi.org/10.48550/arXiv.2403.12362",
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  "defined_in": "https://doi.org/10.48550/arXiv.2403.12362",
            
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  "doi": "10.57702/vtvtlkro",
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  "doi": "10.57702/vtvtlkro",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-17",
            
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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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  "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": "Xu Chen",
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      "extra_author": "Xu 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": "Zhenye Gan",
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      "extra_author": "Zhenye Gan",
            
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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": "Jinlong Peng",
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      "extra_author": "Jinlong Peng",
            
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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": "Shengchuan Zhang",
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      "extra_author": "Shengchuan Zhang",
            
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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": "Jiangning Zhang",
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      "extra_author": "Jiangning Zhang",
            
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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": "Yabiao Wang",
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      "extra_author": "Yabiao 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": "Chengjie Wang",
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      "extra_author": "Chengjie 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": "Liujuan Cao",
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      "extra_author": "Liujuan Cao",
            
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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": "Rongrong Ji",
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      "extra_author": "Rongrong Ji",
            
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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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      "description": "",
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      "description": "",
            
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      "display_name": "Anomaly Detection",
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      "display_name": "Anomaly Detection",
            
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      "name": "anomaly-detection",
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      "name": "anomaly-detection",
            
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      "title": "Anomaly Detection"
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      "title": "Anomaly Detection"
            
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  "name": "dmad--dual-memory-bank-for-real-world-anomaly-detection",
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  "name": "dmad--dual-memory-bank-for-real-world-anomaly-detection",
            
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  "notes": "Training a unified model is considered to be more suitable 
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  "notes": "Training a unified model is considered to be more suitable 
            
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for practical industrial anomaly detection scenarios due to its 
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for practical industrial anomaly detection scenarios due to its 
            
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generalization ability and storage efficiency. However, this 
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generalization ability and storage efficiency. However, this 
            
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multi-class setting, which exclusively uses normal data, overlooks the 
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multi-class setting, which exclusively uses normal data, overlooks the 
            
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few but important accessible annotated anomalies in the real world.",
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few but important accessible annotated anomalies in the real world.",
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "name": "anomaly detection",
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      "display_name": "dual memory bank",
            
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      "id": "a5a37fcc-70cc-4f30-bd11-de9c9fb032f0",
            
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      "name": "dual memory bank",
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      "id": "b24c1138-34f9-4474-881a-5793d1bf5cc5",
            
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    }
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  ],
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  ],
            
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  "title": "DMAD: Dual Memory Bank for Real-World Anomaly Detection",
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  "title": "DMAD: Dual Memory Bank for Real-World Anomaly Detection",
            
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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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}