CN109643384A - 用于零样本学习的方法和装置 - Google Patents

用于零样本学习的方法和装置 Download PDF

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Publication number
CN109643384A
CN109643384A CN201680088517.8A CN201680088517A CN109643384A CN 109643384 A CN109643384 A CN 109643384A CN 201680088517 A CN201680088517 A CN 201680088517A CN 109643384 A CN109643384 A CN 109643384A
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visual signature
dictionary
classification
multimedia content
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于云龙
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Nokia Technologies Oy
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Nokia Technologies Oy
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2135—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24147—Distances to closest patterns, e.g. nearest neighbour classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/28—Determining representative reference patterns, e.g. by averaging or distorting; Generating dictionaries
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle

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  • Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Image Analysis (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
CN201680088517.8A 2016-08-16 2016-08-16 用于零样本学习的方法和装置 Pending CN109643384A (zh)

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PCT/CN2016/095512 WO2018032354A1 (en) 2016-08-16 2016-08-16 Method and apparatus for zero-shot learning

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CN109643384A true CN109643384A (zh) 2019-04-16

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CN (1) CN109643384A (de)
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110580501A (zh) * 2019-08-20 2019-12-17 天津大学 一种基于变分自编码对抗网络的零样本图像分类方法
CN110826638A (zh) * 2019-11-12 2020-02-21 福州大学 基于重复注意力网络的零样本图像分类模型及其方法
CN111914903A (zh) * 2020-07-08 2020-11-10 西安交通大学 一种基于外分布样本检测的广义零样本目标分类方法、装置及相关设备
CN112418257A (zh) * 2019-08-22 2021-02-26 四川大学 一种有效的基于潜在视觉属性挖掘的零样本学习方法
CN116109877A (zh) * 2023-04-07 2023-05-12 中国科学技术大学 组合式零样本图像分类方法、系统、设备及存储介质
CN117541882A (zh) * 2024-01-05 2024-02-09 南京信息工程大学 一种基于实例的多视角视觉融合转导式零样本分类方法

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112380374B (zh) * 2020-10-23 2022-11-18 华南理工大学 一种基于语义扩充的零样本图像分类方法
CN114627312B (zh) * 2022-05-17 2022-09-06 中国科学技术大学 零样本图像分类方法、系统、设备及存储介质
CN116051909B (zh) * 2023-03-06 2023-06-16 中国科学技术大学 一种直推式零次学习的未见类图片分类方法、设备及介质

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CN103164713A (zh) * 2011-12-12 2013-06-19 阿里巴巴集团控股有限公司 图像分类方法和装置
CN103646256A (zh) * 2013-12-17 2014-03-19 上海电机学院 一种基于图像特征稀疏重构的图像分类方法
CN105184260A (zh) * 2015-09-10 2015-12-23 北京大学 一种图像特征提取方法及行人检测方法及装置
CN105512679A (zh) * 2015-12-02 2016-04-20 天津大学 一种基于极限学习机的零样本分类方法
CN105718940A (zh) * 2016-01-15 2016-06-29 天津大学 基于多组间因子分析的零样本图像分类方法

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Publication number Priority date Publication date Assignee Title
US20130251340A1 (en) * 2012-03-21 2013-09-26 Wei Jiang Video concept classification using temporally-correlated grouplets
CN103400160B (zh) * 2013-08-20 2017-03-01 中国科学院自动化研究所 一种零训练样本行为识别方法
CN105740879B (zh) * 2016-01-15 2019-05-21 天津大学 基于多模态判别分析的零样本图像分类方法
CN105701514B (zh) * 2016-01-15 2019-05-21 天津大学 一种用于零样本分类的多模态典型相关分析的方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103164713A (zh) * 2011-12-12 2013-06-19 阿里巴巴集团控股有限公司 图像分类方法和装置
CN103646256A (zh) * 2013-12-17 2014-03-19 上海电机学院 一种基于图像特征稀疏重构的图像分类方法
CN105184260A (zh) * 2015-09-10 2015-12-23 北京大学 一种图像特征提取方法及行人检测方法及装置
CN105512679A (zh) * 2015-12-02 2016-04-20 天津大学 一种基于极限学习机的零样本分类方法
CN105718940A (zh) * 2016-01-15 2016-06-29 天津大学 基于多组间因子分析的零样本图像分类方法

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110580501A (zh) * 2019-08-20 2019-12-17 天津大学 一种基于变分自编码对抗网络的零样本图像分类方法
CN110580501B (zh) * 2019-08-20 2023-04-25 天津大学 一种基于变分自编码对抗网络的零样本图像分类方法
CN112418257A (zh) * 2019-08-22 2021-02-26 四川大学 一种有效的基于潜在视觉属性挖掘的零样本学习方法
CN110826638A (zh) * 2019-11-12 2020-02-21 福州大学 基于重复注意力网络的零样本图像分类模型及其方法
CN110826638B (zh) * 2019-11-12 2023-04-18 福州大学 基于重复注意力网络的零样本图像分类模型及其方法
CN111914903A (zh) * 2020-07-08 2020-11-10 西安交通大学 一种基于外分布样本检测的广义零样本目标分类方法、装置及相关设备
CN111914903B (zh) * 2020-07-08 2022-10-25 西安交通大学 一种基于外分布样本检测的广义零样本目标分类方法、装置及相关设备
CN116109877A (zh) * 2023-04-07 2023-05-12 中国科学技术大学 组合式零样本图像分类方法、系统、设备及存储介质
CN116109877B (zh) * 2023-04-07 2023-06-20 中国科学技术大学 组合式零样本图像分类方法、系统、设备及存储介质
CN117541882A (zh) * 2024-01-05 2024-02-09 南京信息工程大学 一种基于实例的多视角视觉融合转导式零样本分类方法
CN117541882B (zh) * 2024-01-05 2024-04-19 南京信息工程大学 一种基于实例的多视角视觉融合转导式零样本分类方法

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EP3500978A4 (de) 2020-01-22
EP3500978A1 (de) 2019-06-26

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Application publication date: 20190416