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Models/SML

SML

Reported on 10 benchmarks across 3 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology8 results

Anomaly DetectiononFishyscapes
FPR95· 2021-07-23
19.64
best: 21.58 (FlowEneDet)
SOTA
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation arXiv:2107.11264
Anomaly DetectiononLost and Found
FPR· 2021-07-23
44.48
SOTA
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation arXiv:2107.11264
Anomaly DetectiononRoad Anomaly
AP· 2021-07-23
25.82
best: 95.21 (OodDINO)
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation arXiv:2107.11264
Anomaly DetectiononRoad Anomaly
FPR95· 2021-07-23
49.74
best: 64.69 (SynthCP)
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation arXiv:2107.11264
Anomaly DetectiononFishyscapes
AP· 2021-07-23
53.11
best: 95.96 (RPL+CoroCL)
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation arXiv:2107.11264
Anomaly DetectiononLost and Found
AP· 2021-07-23
25.89
best: 86.59 (Mask2Anomaly)
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation arXiv:2107.11264
Anomaly DetectiononFishyscapes L&F
AP· 2021-07-23
36.55
best: 69.8 (cDNP+OE)
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation arXiv:2107.11264
Anomaly DetectiononFishyscapes L&F
FPR95· 2021-07-23
14.53
best: 47.43 (Dirichlet DeepLab)
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation arXiv:2107.11264

Medical1 result

Semantic SegmentationonCityscapes val
mIoU· 2021-07-23
80.33
best: 90.3 (EfficientPS (Cityscapes-fine))
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation arXiv:2107.11264

Audio1 result

10-shot image generationonCityscapes val
mIoU· 2021-07-23
80.33
best: 90.3 (EfficientPS (Cityscapes-fine))
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation arXiv:2107.11264