一种基于任务分解的视觉问题答案方法

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Updated: Jan 11, 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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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

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Yao Cong1, Hongwei Mo1

  • 1College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, Heilongjiang, China.

PloS one
|November 13, 2025
PubMed
概括

本研究介绍了用于视觉问题答案 (VQA) 的图形到序列任务分解网络 (Graph2Seq-TDN). 这种新的方法增强了对自然语言的理解,用于准确的任务分解和改进推理执行,优于传统方法.

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