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相关概念视频

Vision01:24

Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Language01:16

Language

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Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
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Concepts and Prototypes01:24

Concepts and Prototypes

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The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
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Color Vision01:24

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Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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Components of Language01:24

Components of Language

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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
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Language Development01:22

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
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YOLO-LA:基于原型的视觉语言对齐用于晶片缺陷检测模式.

Ziyue Wang1, Yichen Yang2, Jianning Chu3

  • 1School of Intelligent Manufacturing, Jianghan University, Wuhan 430056, China.

Micromachines
|January 28, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了YOLO-LA,这是用于晶圆缺陷识别的视觉语言框架. 它通过将视觉模式与缺陷描述相结合来提高准确性,提高半导体制造产量.

关键词:
这是一个YOLO YOLO.发现缺陷检测检测缺陷检测一个半导体半导体.视觉语言模型 视觉语言模型晶圆桶地图 晶圆桶地图

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科学领域:

  • 半导体制造业 半导体制造业
  • 人工智能的人工智能
  • 计算机视觉 计算机视觉

背景情况:

  • 半导体制造需要精确的工艺控制,以减少变化和提高产量.
  • 晶圆缺陷模式识别对于识别根本原因至关重要.
  • 目前基于视觉的缺陷识别深度学习方法缺乏可解释性和概括性,原因是语义缺陷信息的不足利用.

研究的目的:

  • 开发一个轻量级的视觉语言对齐框架 (YOLO-LA),以改进晶圆缺陷识别.
  • 通过整合视觉和文本数据,提高缺陷识别模型的可解释性和概括性.
  • 通过更好的缺陷分析,提高半导体制造工艺的准确性和效率.

主要方法:

  • 提出了YOLO-LA,这是一个整合冷YOLO骨干和冷文本编码器的框架.
  • 引入了一个可学习的投影头,将视觉特征映射到共享的嵌入空间中,用于基于等号相似性的分类.
  • 利用基于原型的视觉语言对齐来利用缺陷描述中的语义信息.

主要成果:

  • 在WM-811K数据集上的各种YOLO骨干中,YOLO-LA始终提高了分类准确性.
  • 该框架引入了最小的额外参数,保持了轻量级的配置.
  • YOLOv12显示出最快的推断速度,具有竞争力的准确性,而YOLOv10显示出从语义对齐中获得的显著收益.

结论:

  • 拟议的YOLO-LA框架通过整合视觉和语义信息,有效地提高了晶圆缺陷识别.
  • 轻量化和高效的设计使YOLO-LA适用于实时工业晶圆检查系统.
  • 利用视觉语言对齐为提高半导体制造缺陷分析的可解释性和概括性提供了一个有希望的方向.