LU102496B1 - Facial expression recognition method based on attention mechanism - Google Patents

Facial expression recognition method based on attention mechanism Download PDF

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Publication number
LU102496B1
LU102496B1 LU102496A LU102496A LU102496B1 LU 102496 B1 LU102496 B1 LU 102496B1 LU 102496 A LU102496 A LU 102496A LU 102496 A LU102496 A LU 102496A LU 102496 B1 LU102496 B1 LU 102496B1
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attention
feature map
self
channel
facial expression
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LU102496A
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German (de)
English (en)
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Daihong Jiang
Yuanzheng Hu
Zhongdong Huang
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Xuzhou Inst Technology
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174Facial expression recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/253Fusion techniques of extracted features
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/46Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/462Salient features, e.g. scale invariant feature transforms [SIFT]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Software Systems (AREA)
  • Biomedical Technology (AREA)
  • Multimedia (AREA)
  • Computing Systems (AREA)
  • Biophysics (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
LU102496A 2020-11-03 2021-02-08 Facial expression recognition method based on attention mechanism LU102496B1 (en)

Applications Claiming Priority (1)

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CN202011207089.0A CN112257647A (zh) 2020-11-03 2020-11-03 基于注意力机制的人脸表情识别方法

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LU102496B1 true LU102496B1 (en) 2021-08-09

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CN113033310A (zh) * 2021-02-25 2021-06-25 北京工业大学 一种基于视觉自注意力网络的表情识别方法
CN113076890B (zh) * 2021-04-09 2022-07-29 南京邮电大学 基于改进的通道注意力机制的人脸表情识别方法及系统
CN113111779A (zh) * 2021-04-13 2021-07-13 东南大学 基于注意力机制的表情识别方法
CN113255530B (zh) * 2021-05-31 2024-03-29 合肥工业大学 基于注意力的多通道数据融合网络架构及数据处理方法
CN113223181B (zh) * 2021-06-02 2022-12-23 广东工业大学 一种弱纹理物体位姿估计方法
CN113486744B (zh) * 2021-06-24 2023-02-14 中国科学院西安光学精密机械研究所 基于眼动和人脸表情范式的学生学习状态评估系统及方法
CN113570035B (zh) * 2021-07-07 2024-04-16 浙江工业大学 一种利用多层卷积层信息的注意力机制方法
CN113688204B (zh) * 2021-08-16 2023-04-25 南京信息工程大学 一种利用相似场景及混合注意力的多人会话情感预测方法
CN114821704B (zh) * 2022-03-16 2024-05-24 桂林理工大学 一种基于关键点注意力机制的口罩人脸识别方法
CN114943998A (zh) * 2022-05-24 2022-08-26 安徽工业技术创新研究院六安院 一种基于结构张量特征和自注意力机制的婴儿表情识别方法
CN115439912A (zh) * 2022-09-20 2022-12-06 支付宝(杭州)信息技术有限公司 一种识别表情的方法、装置、设备及介质
CN115294483A (zh) * 2022-09-28 2022-11-04 山东大学 输电线路复杂场景的小目标识别方法及系统
CN116152890B (zh) * 2022-12-28 2024-01-26 北京融威众邦电子技术有限公司 一种医疗费用自助支付系统
CN116311192B (zh) * 2023-05-15 2023-08-22 中国科学院长春光学精密机械与物理研究所 空间目标定位、区域超分辨重建及类型识别的系统及方法
CN116645716B (zh) * 2023-05-31 2024-01-19 南京林业大学 基于局部特征和全局特征的表情识别方法
CN116740795B (zh) * 2023-08-16 2023-11-24 天津师范大学 基于注意力机制的表情识别方法、模型及模型训练方法
CN117912086B (zh) * 2024-03-19 2024-05-31 中国科学技术大学 基于撒切尔效应驱动的人脸识别方法、系统、设备及介质

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220406091A1 (en) * 2021-06-16 2022-12-22 Sony Group Corporation Landmark detection using deep neural network with multi-frequency self-attention

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