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脑启发的遮挡目标识别模型研究综述

张利朋 李瑞琪 王宁 曹亮 孟振江 李翠霞 胡玉霞

郑州大学学报(理学版)2026,Vol.58Issue(5):1-13,13.
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郑州大学学报(理学版)2026,Vol.58Issue(5):1-13,13.DOI:10.13705/j.issn.1671-6841.2025025

脑启发的遮挡目标识别模型研究综述

A Review of Brain-inspired Models for Occluded Object Recognition

张利朋 1李瑞琪 1王宁 2曹亮 3孟振江 1李翠霞 4胡玉霞1

作者信息

  • 1. 郑州大学 电气与信息工程学院 河南省脑科学与脑机接口重点实验室 河南 郑州 450001
  • 2. 清华大学 自动化系 北京 100084||中国电子科技集团公司第二十七研究所 河南 郑州 450047
  • 3. 海装某军代室 河南 郑州 450000
  • 4. 郑州大学 网络空间安全学院 河南 郑州 450002
  • 折叠

摘要

Abstract

Occluded object recognition was one of the core challenges in the field of computer vision.Fea-ture loss and confusion caused by object occlusion severely limited the performance of current object recog-nition models.Studies showed that the human visual system possessed excellent capabilities in recognizing occluded objects and strong adaptability to occluded scenes,providing a biological basis and innovative di-rection for constructing brain-inspired occluded object recognition models.The research progress of brain-inspired occluded object recognition models was reviewed.Firstly,the current mainstream occluded object recognition models were introduced.Then,focusing on the biological foundations of brain-inspired models,the key roles of neural mechanisms such as hierarchical processing in the visual cortex in visual reasoning were explained.Furthermore,occluded object recognition models that simulated biological visual mecha-nisms was evaluated.Finally,existing works were summarized and the development directions of current brain-inspired occluded object recognition models were discussed.It was pointed out out that the explora-tion of biological mechanisms remained a major challenge in the innovation of brain-inspired models.

关键词

遮挡目标识别/脑机制/视觉系统/脑启发模型

Key words

occluded object recognition/brain mechanism/visual system/brain-inspired model

分类

信息技术与安全科学

引用本文复制引用

张利朋,李瑞琪,王宁,曹亮,孟振江,李翠霞,胡玉霞..脑启发的遮挡目标识别模型研究综述[J].郑州大学学报(理学版),2026,58(5):1-13,13.

基金项目

河南省科技创新2030重大项目(2022ZD0208500) (2022ZD0208500)

河南省科技计划项目(202102310210,232102210072) (202102310210,232102210072)

郑州大学学报(理学版)

1671-6841

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