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The Effect of Aging on Tissues01:19

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Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
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EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
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Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
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通过可解释的条件对抗自动编码器进行面部老化.

Christos Korgialas1, Evangelia Pantraki1, Angeliki Bolari1

  • 1Department of Informatics, Faculty of Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

Journal of imaging
|May 26, 2023
PubMed
概括

本研究介绍了使用生成对抗网络 (GAN) 和可解释AI (xAI) 的可解释面部衰老框架. 通过提供可解释的反,xAI-CAAE模型增强了年龄进步和回归图像的现实性.

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 面部衰老研究传统上使用生成对抗网络 (GAN).
  • 现有的方法在老化过程中缺乏可解释性.
  • 条件对抗自编码器 (CAAE) 是面对面的常见方法.

研究的目的:

  • 提出一个可解释的面部老化框架 (xAI-CAAE).
  • 将可解释的人工智能 (xAI) 方法集成到基于GAN的面部老化中.
  • 通过可解释的反来提高年龄进步和回归图像的现实性.

主要方法:

  • 将条件对抗自编码器 (CAAE) 与 Saliency 地图和 Shapley 附加解释等 xAI 技术结合起来.
  • 使用xAI指导的培训,从歧视器到生成器进行校正反.
  • 使用局部可解释的模型不可知解释 (LIME) 进行预训练的年龄分类器分析.

主要成果:

  • 证明了xAI系统对图像现实性的重大贡献.
  • 产生了更现实的年龄进步和年龄倒退的面部图像.
  • 通过解释,为歧视者的决定提供了"理由".
关键词:
可解释的人工智能 (xAI)脸部老化 面部老化生成性的对抗性网络 (GANs)

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结论:

  • 新的xAI-CAAE框架成功地增强了面部老化的现实主义.
  • 可解释的人工智能方法在面部老化中首次被使用.
  • 集成xAI在生成可解释和现实的面部年龄操纵方面取得了重大进展.