Buckets:
| { | |
| "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." | |
| ] | |
| } |
Xet Storage Details
- Size:
- 949 Bytes
- Xet hash:
- 7bd13f99647e9e64dc3bf89b75a3969e09e7b16bbe2841811d0b245373012a0e
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