Anomaly Detection On Fishyscapes L F
評価指標
AP
FPR95
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | AP | FPR95 |
|---|---|---|
| the-fishyscapes-benchmark-measuring-blind | 10.29 | 22.11 |
| densehybrid-hybrid-anomaly-detection-for | 43.9 | 6.2 |
| standardized-max-logits-a-simple-yet | 36.55 | 14.53 |
| concurrent-misclassification-and-out-of | 50.15 | 5.20 |
| the-fishyscapes-benchmark-measuring-blind | 2.9 | 44.8 |
| the-fishyscapes-benchmark-measuring-blind | 4.7 | 24.4 |
| pixel-wise-anomaly-detection-in-complex | 43.22 | 15.79 |
| pixel-wise-energy-biased-abstention-learning | 44.17 | 7.58 |
| simultaneous-semantic-segmentation-and | 31.31 | 19.02 |
| far-away-in-the-deep-space-nearest-neighbor | 69.8 | 7.5 |
| residual-pattern-learning-for-pixel-wise-out | 53.99 | 2.27 |
| the-fishyscapes-benchmark-measuring-blind | 9.8 | 38.5 |
| dense-anomaly-detection-by-robust-learning-on | 69.43 | 2.00 |
| consensus-synergizes-with-memory-a-simple | 41.95 | 13.32 |
| the-fishyscapes-benchmark-measuring-blind | 34.28 | 47.43 |
| dense-anomaly-detection-by-robust-learning-on | 39.36 | - |
| unmasking-anomalies-in-road-scene | 46.04 | 4.36 |
| far-away-in-the-deep-space-nearest-neighbor | 62.2 | 8.9 |