Human face anti-counterfeiting detection method of double-channel convolutional neural network based on attention model
A technology of convolutional neural network and attention model, which is applied in the field of face anti-counterfeiting detection of two-way convolutional neural network, can solve the problems of reduced generalization of the model, and improve generalization, accuracy, and detection effect of effect
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[0023] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, and do not limit the protection scope of the present invention.
[0024] In order to realize the anti-counterfeiting detection of the face, this example provides a two-way convolutional neural network-based face anti-counterfeiting detection method based on the attention model, which specifically includes the construction of a face anti-counterfeiting detection model and the use of the face anti-counterfeiting detection model Two stages of anti-counterfeiting judgment are carried out.
[0025] Stage of building a face anti-counterfeiting detection model
[0026] The construction of the face anti-counterfeiting detection model mainly in...
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