Texture
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Out-of-Distribution Detection | Texture | AUROC98.92 | 113 | |
| Tabular Data Synthesis Fidelity | texture | KS Statistic (Mean)0.55 | 64 | |
| Far OOD detection | Texture | AUROC96.3 | 34 | |
| Tabular Data Synthesis | texture | Chi-squared Result0 | 33 | |
| Far OOD Detection | Texture (test) | FPR@9518.3 | 32 | |
| Far Out-of-Distribution Detection | Texture | FPR9518.3 | 32 | |
| Tabular Data Synthesis | texture | Inverse KL0.1 | 32 | |
| Classification | TEXTURE | Accuracy98.8 | 17 | |
| Continual Clustering | Texture | AI NMI0.744 | 9 | |
| OOD Detection | Texture | FPR25.9 | 4 | |
| Anomaly Segmentation | Texture Defect Type Split | False Positives20.94 | 4 | |
| Tabular Classification | texture UCI (test) | Balanced Acc93.76 | 3 | |
| Uncertainty Calibration | Texture OOD (test) | RMS Calibration Error28.74 | 3 | |
| Out-of-Distribution Detection | Texture far-OOD CIFAR-10 OpenOOD (test) | FPR@9546.01 | 3 | |
| Multiclass Classification | texture | Accuracy99.9 | 2 | |
| Delta-presence Evaluation | texture real-world (train) | Delta Presence1.03 | 1 | |
| DCR Evaluation | texture | DCR44 | 1 | |
| Gram matrix computation | Texture | Metric- | 0 |
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