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References from Learn with diversity and from harder samples: Improving the generalization of CNN-Based detection of computer-generated images. Local targets link to admitted publications; unresolved targets remain external evidence.
Threat of adversarial attacks on deep learning in computer vision: a survey
10.1109/access.2018.2807385 · 2018 · External reference
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Classification of computer generated and natural images based on efficient deep convolutional recurrent attention model
2019 · External reference
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Identifying computer graphics using HSV color model and statistical moments of characteristic functions
2007 · External reference
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RAISE: a raw images dataset for digital image forensics
2015 · External reference
Rich models for steganalysis of digital images
10.1109/tifs.2012.2190402 · 2012 · External reference
Image authentication by detecting traces of demosaicing
2008 · External reference
Explaining and harnessing adversarial examples
2015 · External reference
Computer graphics identification combining convolutional and recurrent neural networks
10.1109/lsp.2018.2855566 · 2018 · External reference
ImageNet classification with deep convolutional neural networks
2012 · External reference
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How realistic is photorealistic?
10.1109/tsp.2004.839896 · 2005 · External reference
Physics-motivated features for distinguishing photographic images and computer graphics
2005 · External reference
Capsule-forensics: using capsule networks to detect forged images and videos
2019 · External reference
Discrimination of natural images and computer generated graphics based on multi-fractal and regression analysis
10.1016/j.aeue.2016.11.009 · 2017 · External reference
Distinguishing between natural and computer-generated images using convolutional neural networks
10.1109/tifs.2018.2834147 · 2018 · External reference
Improving the generalization of colorized image detection with enhanced training of CNN
2019 · External reference
Impact of data preparation and CNN's first layer on performance of image forensics: a case study of detecting colorized images
2019 · External reference
Distinguishing computer graphics from natural images using convolution neural networks
2017 · External reference
Dynamic routing between capsules
2017 · External reference
Dag-recurrent neural networks for scene labeling
2016 · External reference
VISION: a video and image dataset for source identification
10.1186/s13635-017-0067-2 · 2017 · External reference
Intriguing properties of neural networks
2014 · External reference
Pixel-domain adversarial examples against CNN-based manipulation detectors
10.1049/el.2018.6469 · 2018 · External reference
Ensemble adversarial training: attacks and defenses
2018 · External reference
Visualizing high-dimensional data using t-SNE
2008 · External reference
Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics
10.1007/s11042-016-4153-0 · 2017 · External reference
Real-time rendering of layered materials with anisotropic normal distributions
10.1007/s41095-019-0154-z · 2020 · External reference
10.3390/s18041296
10.3390/s18041296 · External reference
Adversarial examples: attacks and defenses for deep learning
10.1109/tnnls.2018.2886017 · 2019 · External reference
Distinguishing photographic images and photorealistic computer graphics using visual vocabulary on local image edges
2012 · External reference
mixup: beyond empirical risk minimization
2018 · External reference
Distinguishing computer-generated images from natural images using channel and pixel correlation
10.1007/s11390-020-0216-9 · 2020 · External reference
