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{
"dataset": "BTAD",
"model_name": "URD",
"model_links": [],
"paper_title": "Unlocking the Potential of Reverse Distillation for Anomaly Detection",
"paper_url": "https://arxiv.org/abs/2412.07579v1",
"metrics": {
"Detection AUROC": "93.9",
"Segmentation AP": "65.2",
"Segmentation AUPRO": "78.5",
"Segmentation AUROC": "98.1"
},
"table_metrics": {
"Detection AUROC": "93.9",
"Segmentation AP": "65.2",
"Segmentation AUPRO": "78.5",
"Segmentation AUROC": "98.1"
},
"prompts": [
"Given the following paper and codebase:\nPaper: Unlocking the Potential of Reverse Distillation for Anomaly Detection\nCodebase: Repository not available\n\nImprove the URD model on the BTAD dataset. The result should improve on the following metrics: {'Detection AUROC': '93.9', 'Segmentation AP': '65.2', 'Segmentation AUPRO': '78.5', 'Segmentation AUROC': '98.1'}. You must use only the codebase provided."
]
}

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