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Updated: Apr 28, 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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通过视觉语言模型增强废物识别:为可扩展的解决方案提供快速工程方法

Hiranya Jeet Malla1, Milad Bazli2, Mehrdad Arashpour1

  • 1Department of Civil Engineering, Monash University, Melbourne, VIC 3800, Australia.

Waste management (New York, N.Y.)
|June 13, 2025
PubMed
概括

视觉语言模型 (VLMs) 为废物图像分类提供了可扩展的解决方案,优于传统方法. 有针对性的提示工程显著提高了VLM的准确性,即使在数据稀缺的场景.

关键词:
计算机视觉 计算机视觉 计算机视觉深度学习是一种深度学习.快递工程是指快递的工程.可持续的废物管理 可持续的废物管理视觉语言模型的模型.零射击学习的学习.

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