You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
In Table "Performance Comparison on ShanghaiTech", the AUC of SSMT is 90.2 as reported in its paper. However, the authors use the so called "Macro-AUC" (https://github.com/lilygeorgescu/AED-SSMTL#evaluation), which is not the way to calculate AUC in other papers. It's better to distinguish the two metrics.
Also, it is not the first time the authers of SSMT use Macro-AUC. In their previous papers, e.g. "Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video", they use this metric and actually cause unfair comparisons.
The text was updated successfully, but these errors were encountered:
In Table "Performance Comparison on ShanghaiTech", the AUC of SSMT is 90.2 as reported in its paper. However, the authors use the so called "Macro-AUC" (https://github.com/lilygeorgescu/AED-SSMTL#evaluation), which is not the way to calculate AUC in other papers. It's better to distinguish the two metrics.
Also, it is not the first time the authers of SSMT use Macro-AUC. In their previous papers, e.g. "Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video", they use this metric and actually cause unfair comparisons.
The text was updated successfully, but these errors were encountered: