Reconstructed Student-Teacher and Discriminative Networks for Anomaly Detection
Shinji Yamada,Satoshi Kamiya,Kazuhiro Hotta,Shinji Yamada,Satoshi Kamiya,Kazuhiro Hotta
Anomaly detection is an important problem in computer vision; however, the scarcity of anomalous samples makes this task difficult. Thus, recent anomaly detection methods have used only “normal images” with no abnormal areas for training. In this work, a powerful anomaly detection method is proposed based on student-teacher feature pyramid matching (STPM), which consists of a student and teacher n...
