申铉京, 李梦臻, 吕颖达, 等.基于LBC的计算机生成图像盲鉴别算法[J].计算机科学, 2015, 42(6):135-138, 161.
敖道敢.无监督特征学习结合神经网络应用于图像识别[D].广州: 华南理工大学, 2014.http://cdmd.cnki.com.cn/Article/CDMD-10561-1014064059.htm
DE REZENDE E R S, RUPPERT G C S, CARVALHO T.Detecting Computer Generated Images with Deep Convolutional Neural Networks[C]//201730th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).Niteroi: IEEE, 2017.
刘内美.高识别率的鲁棒ART快速图像识别算法[J].西南师范大学学报(自然科学版), 2016, 41(8):106-113.
PENG F, ZHOU D L, LONG M, et al.Discrimination of Natural Images and Computer Generated Graphics Based on Multi-Fractal and Regression Analysis[J]. AEU-International Journal of Electronics and Communications, 2017, 71:72-81. doi: 10.1016/j.aeue.2016.11.009
TOKUDA E, PEDRINI H, ROCHA A.Computer Generated Images vs.Digital Photographs:A Synergetic Feature and Classifier Combination Approach[J]. Journal of Visual Communication and Image Representation, 2013, 24(8):1276-1292. doi: 10.1016/j.jvcir.2013.08.009
CONOTTER V, BODNARI E, BOATO G, et al.Physiologically-Based Detection of Computer Generated Faces in Video[C]//2014 IEEE International Conference on Image Processing (ICIP).Paris: IEEE, 2014.
张震, 杨宇豪.基于Benford模型的自然图像与计算机生成图像的鉴别[J].北京工业大学学报, 2013, 39(6):930-935.
TAN D Q, SHEN X J, QIN J, et al.Detecting Computer Generated Images Based on Local Ternary Count[J]. Pattern Recognition and Image Analysis, 2016, 26(4):720-725. doi: 10.1134/S1054661816040167
魏晓聪, 林鸿飞.面向迁移学习的文本特征对齐算法[J].计算机工程, 2017, 43(2):215-219, 226.
SHIN H C, ROTH H R, GAO M C, et al.Deep Convolutional Neural Networks for Computer-Aided Detection:CNN Architectures, Dataset Characteristics and Transfer Learning[J]. IEEE Transactions on Medical Imaging, 2016, 35(5):1285-1298. doi: 10.1109/TMI.2016.2528162