[1] |
WANG Y , MOULIN P . On discrimination between photorealistic and photographic images[C]// IEEE International Conference on Acoustics Speech and Signal Processing. 2006.
|
[2] |
LYU S , FARID H . How realistic is photorealistic[J]. IEEE Interna-tional Conference on Signal Processing, 2005,53(2):845-850.
|
[3] |
ZHU J Y , KRAHENBUHL P , SHECHTMAN E , et al. Learning a discriminative model for the perception of realism in composite images[C]// IEEE International Conference on Computer Vision. 2015:3943-3951.
|
[4] |
KHANNA N , CHIU G T C , ALLEBACH J P , et al. Forensic tech-niques for classifying scanner,computer generated and digital cam-era images[C]// IEEE International Conference on Acoustics,Speech and Signal Processing. 2008:1653-1656.
|
[5] |
MAHENDRAN A , VEDALDI A . Understanding deep image rep-resentations by inverting them[C]// IEEE Conference on Computer Vision and Pattern Recognition. 2015:5188-5196.
|
[6] |
LECUN Y , BOTTOU L , BENGIO Y , et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998,86(11):2278-2324.
|
[7] |
KUSSUL E , BAIDYK T , WUNSCH II D C . Permutation coding technique for image recognition system standard[M] Neural Networks and Micromechanics. 201047-73.
|
[8] |
KAIMING H , XIANGYU Z , SHAOQING R , et al. Delving deep into rectifiers:surpassing human-level performance on imagenet classification[C]// IEEE International Conference on Computer Vi-sion. 2015:1026-1034.
|
[9] |
NAIR V , HINTON G E . Rectified linear units improve restricted boltzmann machines[C]// The 27th International Conference on Machine Learning. 2010:807-814.
|
[10] |
SRIVASTAVA N , HINTON G , KRIZHEVSKY A , et al. Dropout:a simple way to prevent neural networks from overfitting[J]. The Journal of Machine Learning Research, 2014,15(1):1929-1958.
|
[11] |
SUTSKEVER I , MARTENS J , DAHL G , et al. On the importance of initialization and momentum in deep learning[C]// The 30th In-ternational Conference on Machine Learning. 2013:1139-1147.
|
[12] |
JIA Y , SHELHAMER E , DONAHUE J , et al. Caffe:convolutional architecture for fast feature embedding[C]// The ACM International Conference on Multimedia. 2014:675-678.
|