Detecting Scarce and Sparse Anomalous: Solving Dual Imbalance in Multi-Instance Learning

Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou +3

In real-world applications, it is highly challenging to detect anomalous samples with extremely sparse anomalies, as they are highly similar to and thus easily confused with normal…