Image design work plagiarism detection method based on adversarial network
A technology of image design and detection method, applied in the direction of neural learning method, biological neural network model, calculation, etc., can solve the problems that the detection of plagiarism of image design works cannot be realized, achieve superior performance of plagiarism identification, improve accuracy, and realize The effect of tamper detection
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[0035] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0036] The present invention designs a plagiarism detection method based on an adversarial network for image design works, including an image detection model construction method, and applying the image detection model to detect images to be discriminated, and obtain a tampered mask image corresponding to the image to be discriminated; practical application Among them, such as figure 1 As shown, the image detection model construction method specifically performs the following steps A to L.
[0037] Step A. For the preset number of training sample images I respectively containing tampered image areas, the image features specified in the training sample image I are used as input, and the different image features in the training sample image I for which the gap is greater than the preset corresponding image feature threshold...
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