| Paper | Code | AP | FPR95 | ModelName | ReleaseDate |
|---|---|---|---|---|---|
| Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation | ✓ Link | 95.96 | 0.52 | RPL+CoroCL | 2022-11-26 |
| Unmasking Anomalies in Road-Scene Segmentation | ✓ Link | 95.20 | 0.82 | Mask2Anomaly | 2023-07-25 |
| Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes | ✓ Link | 92.38 | 1.73 | PEBAL | 2021-11-24 |
| Pixel-wise Anomaly Detection in Complex Driving Scenes | ✓ Link | 72.59 | 18.75 | Synboost | 2021-03-09 |
| DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition | ✓ Link | 72.3 | 5.5 | DenseHybrid | 2022-07-06 |
| Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow | ✓ Link | 67.8 | 21.58 | FlowEneDet | 2023-05-16 |
| Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation | ✓ Link | 53.11 | 19.64 | SML | 2021-07-23 |
| Evaluating Bayesian Deep Learning Methods for Semantic Segmentation | ✓ Link | 48.7 | 15.5 | Bayesian DeepLab | 2018-11-30 |