Anomaly Detection on Eyecandies (AUCP/MF1P)
96.913AUCPUniMMAD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| UniMMADEvaluation Protocol=Unified Multi-modal and Multi-class Model2025.09 | 96.913 | 39.436 | |
| CFMEvaluation Protocol=Specialized Models (One model for one dataset), Publications=CVPR20242025.09 | 95.838 | 31.916 | |
| AdaCLIPEvaluation Protocol=Generalist Models (One model performs all AD tasks without fine-tuning), Publications=ECCV20242025.09 | 95.173 | 32.047 | |
| AA-CLIPEvaluation Protocol=Generalist Models (One model performs all AD tasks without fine-tuning), Publications=CVPR20252025.09 | 94.744 | 27.205 | |
| M3DMEvaluation Protocol=Specialized Models (One model for one dataset), Publications=CVPR20232025.09 | 93.758 | 36.527 | |
| UniMMADPublications=-, Model Category=Unified Multi-modal and Multi-class Model2025.09 | 85.566 | 84.103 | |
| MVFAEvaluation Protocol=Generalist Models (One model performs all AD tasks without fine-tuning), Publications=CVPR20242025.09 | 82.65 | 11.105 | |
| CFMPublications=CVPR2024, Model Category=Specialized Models (One model for one dataset)2025.09 | 81.847 | 79.668 | |
| M3DMPublications=CVPR2023, Model Category=Specialized Models (One model for one dataset)2025.09 | 77.387 | 76.039 | |
| AdaCLIPPublications=ECCV2024, Model Category=Generalist Models (One model performs all AD tasks without fine-tuning)2025.09 | 73.134 | 74.809 | |
| MVFAPublications=CVPR2024, Model Category=Generalist Models (One model performs all AD tasks without fine-tuning)2025.09 | 64.817 | 70.268 | |
| AA-CLIPPublications=CVPR2025, Model Category=Generalist Models (One model performs all AD tasks without fine-tuning)2025.09 | 48.137 | 65.642 |