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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
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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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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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对象识别中的上下文反:生物启发的计算模型和人类行为研究

Elahe Soltandoost1, Karim Rajaei2, Reza Ebrahimpour3

  • 1University of Padova, Department of Information Engineering, Via Gradenigo 6/b, Padova, 35131, Veneto, Italy; Shahid Rajaei University, Faculty of Engineering, Lavizan, Shahid Babaei Highway, Tehran, 16788-15811, Iran.

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概括

一个新的基于上下文的计算模型 (CBM) 提高了对象识别与场景上下文. 虽然有效,但人类的视觉感知更多地依赖于内在的对象处理,尤其是遮蔽.

关键词:
计算机建模反机制对象识别场景背景视觉感知

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科学领域:

  • 计算神经科学
  • 计算机视觉
  • 认知心理学

背景情况:

  • 场景背景显著影响视觉感知和物体识别,特别是在具有挑战性的条件下.
  • 建议使用自上而下的机制来调节对象选择性大脑区域的场景信息,但尚未完全理解.

研究的目的:

  • 引入一个基于生物背景的计算模型 (CBM) 用于对象识别.
  • 研究明确反机制的作用,将场景背景整合到对象识别中.
  • 将CBM性能与标准的前模型和人类感知进行比较.

主要方法:

  • 开发了一个基于上下文的计算模型 (CBM),有两个路径:对象特征的Object_CNN和场景上下文的Place_CNN.
  • 对象识别任务的CBM与AlexNet (标准的前模型) 进行比较.
  • 进行行为实验以比较人类对象识别与CBM和AlexNet的性能.

主要成果:

  • 在对象识别方面,CBM显著超过了AlexNet,证明了环境反对降低输入的好处.
  • 人类参与者从一致的背景中获得了适度的益处,特别是高水平的遮.
  • 即使没有上下文,人类的识别仍然很强大,这表明全球形状处理和局部反复的过程具有主导作用.

结论:

  • 语境反可以提高对象识别的计算模型性能.
  • 人类的视觉感知采用不同的策略,主要依赖于内在的对象处理和局部的反复机制.
  • 未来的模型应该将情境敏感的反与本地反复的过程相结合,以更好地模仿人类的视觉性.