通过基于标签的注意力对比的多标签零射击学习

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Updated: May 31, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

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Shixuan Meng1, Rongxin Jiang1,2, Xiang Tian1,3

  • 1Zhejiang University, Hangzhou, P. R. China.

International journal of neural systems
|January 24, 2025
PubMed
概括

本研究引入了一种基于标签的对比性注意力 (CLA) 方法,通过减少语义模两可,改善多标签零射击学习 (ML-ZSL). CLA有效地将图像区域与相关标签联系起来,在对象识别任务中表现优于现有的方法.

关键词:
基于标签的关注 基于标签的关注多个标签的分类.区域相关性 相关性 区域相关性零射击学习的学习

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