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Found 2 papers, 1 papers with code
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory
Based on the drastic changes we found of the generalization error bound under different adversarial attacks and different training states, we proposed an adaptive training method which can greatly improve the image manipulation ability of multi-scale GANs.
Surrogate-based cross-correlation for particle image velocimetry
To our surprise, the SBCC framework could provide an alternative view to explain a set of generalized cross-correlation (GCC) methods and comprehend the meaning of parameters.
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