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Steganography with High Reconstruction Robustness: Hiding of Encrypted Secret Images
Mathematics, 2022 As one of the important methods to protect information security, steganography can ensure the security of data in the process of information transmission, which has attracted much attention in the information security community.
Xishun Zhu +3 more
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ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis [PDF]
IEEE Transactions on Medical Imaging, 2021 Generative adversarial models with convolutional neural network (CNN) backbones have recently been established as state-of-the-art in numerous medical image synthesis tasks. However, CNNs are designed to perform local processing with compact filters, and
Onat Dalmaz, Mahmut Yurt, Tolga Cukur
semanticscholar +1 more source
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement [PDF]
IEEE International Conference on Computer Vision, 2021 Recently, the power of unconditional image synthesis has significantly advanced through the use of Generative Adversarial Networks (GANs). The task of inverting an image into its corresponding latent code of the trained GAN is of utmost importance as it ...
Yuval Alaluf, Or Patashnik, D. Cohen-Or
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BMC Cancer, 2022 Background Breast cancer (BC) has particular characteristics in young women, with diagnosis at more advanced stages, a poorer prognosis and highly aggressive tumors.
Lidia Delrieu +19 more
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Axioms, 2021 We develop a local convergence of an iterative method for solving nonlinear least squares problems with operator decomposition under the classical and generalized Lipschitz conditions. We consider the case of both zero and nonzero residuals and determine
Ioannis K. Argyros +4 more
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Journal of Empirical Finance, 2009 Conventional momentum strategies exhibit substantial time-varying exposures to the Fama and French factors. We show that these exposures can be reduced by ranking stocks on residual stock returns instead of total returns. As a consequence, residual momentum earns risk-adjusted profits that are about twice as large as those associated with total return ...
Blitz, D, Huij, Joop, Martens, MPE
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Road Extraction by Deep Residual U-Net [PDF]
IEEE Geoscience and Remote Sensing Letters, 2017 Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis. In this letter, a semantic segmentation neural network, which combines the strengths of residual learning and U-Net, is proposed for road area
Zhengxin Zhang +2 more
semanticscholar +1 more source
Residual Equisingularity [PDF]
Proceedings of the American Mathematical Society, 1976 Let V V be a complex analytic set and Sg V \operatorname {Sg} V the singular set of V V be in codimension one; then the set of points of Sg V \operatorname {Sg} V for which V V is not residually equisingular ...
Becker, Joseph, Stutz, John
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IEEE Access, 2023 The radial basis function (RBF) neural network is a type of universal approximator, and has been widely used in various fields. Improving the training speed and compactness of RBF networks are critical for promoting their applications.
Lifei Sun +6 more
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Residual based adaptivity and PWDG methods for the Helmholtz equation [PDF]
, 2014 We present a study of two residual a posteriori error indicators for the Plane Wave Discontinuous Galerkin (PWDG) method for the Helmholtz equation. In particular we study the h-version of PWDG in which the number of plane wave directions per element is ...
Kapita, Shelvean +2 more
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