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It has been recently shown that the hidden variables of convolutional neural networks make for an efficient perceptual similarity metric that accurately predicts human judgment on relative image similarity assessment.
Multiscale structural similarity for image quality assessment
Z. Wang, E. P. Simoncelli, and A. C. Bovik · 2003
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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Mean squared error: Love it or leave it? a new look at signal fidelity measures
Z. Wang and A. C. Bovik · 2009
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Hdr-vdp-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions
R. Mantiuk, K. J. Kim, A. G. Rempel, and W. Heidrich · 2011
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Explaining and harnessing adversarial examples
I. J. Goodfellow, J. Shlens, and C. Szegedy · 2014
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Adam: A method for stochastic optimization, 2014
D. P. Kingma and J. Ba · 2014
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One weird trick for parallelizing convolutional neural networks
A. Krizhevsky · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Intriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus · 2014
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Texture synthesis using convolutional neural networks
L. Gatys, A. S. Ecker, and M. Bethge · 2015
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Accurate image super-resolution using very deep convolutional networks
J. Kim, J. K. Lee, and K. M. Lee · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Dimensionality reduction as a defense against evasion attacks on machine learning classifiers
A. N. Bhagoji, D. Cullina, and P. Mittal · 2016
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Geodesics of learned representations
O. J. Henaff and E. P. Simoncelli · 2016
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Squeezenet: Alexnet-level accuracy with 50x fewer parameters and < < 0.5mb model size
F. N. Iandola, S. Han, M. W. Moskewicz, K. Ashraf, W. J. Dally, and K. Keutzer · 2016
Cited alongside, same era.
Photographic image synthesis with cascaded refinement networks
Q. Chen and V. Koltun · 2017
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Pixel recursive super resolution
R. Dahl, M. Norouzi, and J. Shlens · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. P. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2017
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Mitigating adversarial effects through randomization
C. Xie, J. Wang, Z. Zhang, Z. Ren, and A. L. Yuille · 2017
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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
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Deepfool: A simple and accurate method to fool deep neural networks
S.-M. Moosavi-Dezfooli, A. Fawzi, and P. Frossard · 2016
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Distillation as a defense to adversarial perturbations against deep neural networks
N. Papernot, P. D. McDaniel, X. Wu, S. Jha, and A. Swami · 2016
Cited alongside, same era.
Eigen-distortions of hierarchical representations
A. Berardino, J. Ballé, V. Laparra, and E. P. Simoncelli · 2017
Cited alongside, same era.
Towards evaluating the robustness of neural networks
N. Carlini and D. A. Wagner · 2017
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A. Athalye, N. Carlini, and D. A. Wagner · 2018
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Synthesizing robust adversarial examples
A. Athalye, L. Engstrom, A. Ilyas, and K. Kwok · 2018
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A. Kuznetsova, H. Rom, N. Alldrin, J. Uijlings, I. Krasin, J. Pont-Tuset, S. Kamali, S. Popov, M. Malloci, T. Duerig, and V. Ferrari · 2018
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Towards robust neural networks via random self-ensemble
X. Liu, M. Cheng, H. Zhang, and C.-J. Hsieh · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
R. Zhang, P. Isola, A. A. Efros, E. Shechtman, and O. Wang · 2018
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