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Akademický článek
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Autor:
Gatica‐Ortega, María‐Elena1 (AUTHOR) mariaelenagatica@yahoo.com.ar, Pastor‐Nieto, María‐Antonia2,3 (AUTHOR), Torres‐Aranda, Rafaela1 (AUTHOR), Luna‐Bastante, Loreto1 (AUTHOR), Pérez‐Hortet, Cristina1 (AUTHOR)
Publikováno v:
Contact Dermatitis (01051873). Jul2021, Vol. 85 Issue 1, p92-94. 3p.
Preserving topological structures is important in real-world applications, particularly in sensitive domains such as healthcare and medicine, where the correctness of human anatomy is critical. However, most existing image editing models focus on man
Externí odkaz:
http://arxiv.org/abs/2411.16714
Geometric shape features have been widely used as strong predictors for image classification. Nevertheless, most existing classifiers such as deep neural networks (DNNs) directly leverage the statistical correlations between these shape features and
Externí odkaz:
http://arxiv.org/abs/2411.12201
In this paper, we investigate the averaging principle for a class of semilinear slow-fast partial differential equations driven by finite-dimensional rough multiplicative noise. Specifically, the slow component is driven by a general random $\gamma$-
Externí odkaz:
http://arxiv.org/abs/2411.06089
Autor:
Arkoub, Hamdy, Jin, Miaomiao
Chromium depletion at grain boundaries (GBs) due to selective attack is a critical issue in the molten salt corrosion of NiCr alloys. Despite the importance of GBs in this process from numerous experimental studies, most theoretical work has predomin
Externí odkaz:
http://arxiv.org/abs/2411.00673
Autor:
Wu, Nian, Zhang, Miaomiao
This paper presents a novel method, named geodesic deformable networks (GDN), that for the first time enables the learning of geodesic flows of deformation fields derived from images. In particular, the capability of our proposed GDN being able to pr
Externí odkaz:
http://arxiv.org/abs/2410.18797
Inertial Measurement Unit (IMU) sensors, including accelerometers, gyroscopes, and magnetometers, are used to estimate the orientation of mobile devices. However, indoor magnetic fields are often distorted, causing the magnetometer's readings to devi
Externí odkaz:
http://arxiv.org/abs/2410.12304
Virtual faces are crucial content in the metaverse. Recently, attempts have been made to generate virtual faces for privacy protection. Nevertheless, these virtual faces either permanently remove the identifiable information or map the original ident
Externí odkaz:
http://arxiv.org/abs/2409.03434
Akademický článek
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