Abnormality detection method and device and electronic equipment

The invention provides an anomaly detection method and device and electronic equipment, and relates to the technical field of industrial visual inspection, and the method comprises the steps: obtaining a to-be-detected image and a first standard image; performing feature extraction on the to-be-detected image by using a student network to obtain a first feature vector, and performing feature extraction on the first standard image by using a teacher network to obtain a second feature vector; calculating loss of two vector elements of each corresponding dimension in the first feature vector and the second feature vector to obtain a loss matrix of each dimension; fusing each loss matrix to construct a thermodynamic diagram; and performing anomaly detection on the to-be-detected image according to the thermodynamic diagram. According to the anomaly detection method and device and the electronic equipment provided by the invention, the problem of low robustness caused by directly adopting a deep learning anomaly m