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Updated: Jul 19, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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通过使用修改后的CANet模型,在印度背景下增强自动驾驶汽车场景理解的语义细分.

Smita Khairnar1, Sudeep D Thepade1,2, Suresh Kolekar3

  • 1Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Nigdi, Pune 411044, India.

MethodsX
|January 23, 2025
PubMed
概括

深度学习改善了自动驾驶汽车的道路场景细分,克服了复杂的驾驶条件中的挑战. 修改后的CANet模型在现实场景中提高了准确性和效率.

关键词:
在印度背景下理解自动驾驶汽车场景,使用修改后的CANet模型.在CANet中,可以使用CANet.印度驾驶数据集 lite lite lite链接网络 - 链接网络这意味着LOUU.现场理解 现场理解这就是U-Net.

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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 categorization, a person will feel...