Abstract
AI face-changing is a new technology that is developing in recent years, and its appearance may bring unnecessary trouble to certain fields of human society. On special occasions, there is an urgent need for a model that can autonomously determine whether an image has undergone AI face-exchanging processing.Proposed two convolutional structures based on the braod learning system (BLS), and give the specific algorithm flow. Using the convolution method for the basic BLS structure, try to directly convolve the feature mapping layer and the input data. The experimental results show that the BLS with convolutional structure performs well on small face data sets, and a very simple structure can achieve satisfactory accuracy and training time on the data set. It reflects the simplicity and reliability of the BLS-Convolution structure.
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Wang, J., Li, X., Wang, W., Huang, J. (2021). Application of Convolution BLS in AI Face-Changing Problem. In: Sun, F., Liu, H., Fang, B. (eds) Cognitive Systems and Signal Processing. ICCSIP 2020. Communications in Computer and Information Science, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-2336-3_15
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