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Updated: May 6, 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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PestCLIP:基于视觉语言模型的增量虫害识别框架

Tao Hu1,2, Xueheng Li1,2, Ke Cao1,2

  • 1Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, China.

Pest management science
|February 20, 2026
PubMed
概括

PestCLIP通过使用对比的语言图像预训练 (CLIP) 来提高农业害虫识别,以克服班级增量学习中的灾难性遗忘. 这种人工智能框架改善了适应性害虫管理系统的动态环境.

关键词:
预测分布 校准 预测分布课堂上的增量学习是增量学习.增加的害虫识别增量 害虫识别视觉语言模型的模型

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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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