To provide a face composite image detection method capable of relaxing an excess adaptation situation of face composite image detection, improving the generalization ability and accuracy of the face composite image detection and improving a detection effect to an unknown composite sample; a face composite image detector; an electronic apparatus; a non-temporarily computer-readable storage medium; and a computer program.SOLUTION: A face composite image detection method comprises: inputting a face image to be detected into a convolutional neural network previously trained to acquire the original image feature of the face image to be detected; inputting the original image feature of the face image to be detected into first and second complete connection layers to acquire a first feature vector corresponding to the face key point of the face image to be detected and a second feature vector corresponding to the face image to be detected; combining the first and second feature vectors to acquire the combined feature vector; and inputting the feature vector into a third complete connection layer to acquire the detection result of the face image to be detected.SELECTED DRAWING: Figure 1
FACE COMPOSITE IMAGE DETECTING METHOD, FACE COMPOSITE IMAGE DETECTOR, ELECTRONIC APPARATUS, STORAGE MEDIUM AND COMPUTER PROGRAM