paper-with-me

Anomaly Detection 벤치마크

Anomaly Detection on Lost and Found

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AP

25.89 41.06 56.24 71.42 86.59 2021-03 2026-09 SynBoost — 70.43 (2021-03-09) SML — 25.89 (2021-07-23) PEBAL — 78.29 (2021-11-24) Mask2Anomaly — 86.59 (2023-07-25) SynBoost — 70.43 (2021-03-09) PEBAL — 78.29 (2021-11-24) Mask2Anomaly — 86.59 (2023-07-25)
RankModel APFPR Extra Training Data PaperCodeYear
1 Mask2Anomaly 86.595.75 Unmasking Anomalies in Road-Scene Segmentation shyam671/mask2anomaly-unmasking-anomalies-in-road-scene-segmentation 2023
2 PEBAL 78.290.81 Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes tianyu0207/pebal · yyliu01/rpl · gaozhitong/atta 2021
3 SynBoost 70.434.89 Pixel-wise Anomaly Detection in Complex Driving Scenes giandbt/synboost 2021
4 SML 25.8944.48 Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation shjung13/standardized-max-logits 2021
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