JP7262290B2 - 特徴ベクトルを生成するシステム - Google Patents

特徴ベクトルを生成するシステム Download PDF

Info

Publication number
JP7262290B2
JP7262290B2 JP2019085609A JP2019085609A JP7262290B2 JP 7262290 B2 JP7262290 B2 JP 7262290B2 JP 2019085609 A JP2019085609 A JP 2019085609A JP 2019085609 A JP2019085609 A JP 2019085609A JP 7262290 B2 JP7262290 B2 JP 7262290B2
Authority
JP
Japan
Prior art keywords
feature vector
class
sample
anchor
distance
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
JP2019085609A
Other languages
English (en)
Japanese (ja)
Other versions
JP2020181486A (ja
JP2020181486A5 (https=
Inventor
マルティン クリンキグト
モーヒト チャーブラ
敦 廣池
智一 村上
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hitachi Ltd
Original Assignee
Hitachi Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hitachi Ltd filed Critical Hitachi Ltd
Priority to JP2019085609A priority Critical patent/JP7262290B2/ja
Priority to PCT/JP2020/017270 priority patent/WO2020218314A1/ja
Publication of JP2020181486A publication Critical patent/JP2020181486A/ja
Publication of JP2020181486A5 publication Critical patent/JP2020181486A5/ja
Application granted granted Critical
Publication of JP7262290B2 publication Critical patent/JP7262290B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/55—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/907—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/907—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/908—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Library & Information Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Image Analysis (AREA)
JP2019085609A 2019-04-26 2019-04-26 特徴ベクトルを生成するシステム Active JP7262290B2 (ja)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2019085609A JP7262290B2 (ja) 2019-04-26 2019-04-26 特徴ベクトルを生成するシステム
PCT/JP2020/017270 WO2020218314A1 (ja) 2019-04-26 2020-04-21 特徴ベクトルを生成するシステム

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2019085609A JP7262290B2 (ja) 2019-04-26 2019-04-26 特徴ベクトルを生成するシステム

Publications (3)

Publication Number Publication Date
JP2020181486A JP2020181486A (ja) 2020-11-05
JP2020181486A5 JP2020181486A5 (https=) 2021-12-23
JP7262290B2 true JP7262290B2 (ja) 2023-04-21

Family

ID=72942556

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2019085609A Active JP7262290B2 (ja) 2019-04-26 2019-04-26 特徴ベクトルを生成するシステム

Country Status (2)

Country Link
JP (1) JP7262290B2 (https=)
WO (1) WO2020218314A1 (https=)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112949384B (zh) * 2021-01-23 2024-03-08 西北工业大学 一种基于对抗性特征提取的遥感图像场景分类方法
CN113408299B (zh) * 2021-06-30 2022-03-25 北京百度网讯科技有限公司 语义表示模型的训练方法、装置、设备和存储介质
CN114399666B (zh) * 2022-01-18 2025-08-05 深圳市东汇精密机电有限公司 基于小样本识别的细胞分级系统
WO2024079820A1 (ja) * 2022-10-12 2024-04-18 日本電気株式会社 学習装置、学習方法、プログラム、および分類装置

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170228641A1 (en) 2016-02-04 2017-08-10 Nec Laboratories America, Inc. Distance metric learning with n-pair loss
US20190065957A1 (en) 2017-08-30 2019-02-28 Google Inc. Distance Metric Learning Using Proxies

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170228641A1 (en) 2016-02-04 2017-08-10 Nec Laboratories America, Inc. Distance metric learning with n-pair loss
US20190065957A1 (en) 2017-08-30 2019-02-28 Google Inc. Distance Metric Learning Using Proxies

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
NI, Jiazhi et al.，Fine-grained Patient Similarity Measuring using Deep Metric Learning，Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM)，ACM Digita Library，2017年11月，pp.1189-1198，Internet<URL: https://dl.acm.org/doi/10.1145/3132847.313302>

Also Published As

Publication number Publication date
JP2020181486A (ja) 2020-11-05
WO2020218314A1 (ja) 2020-10-29

Similar Documents

Publication Publication Date Title
JP7262290B2 (ja) 特徴ベクトルを生成するシステム
Murugappan et al. Facial geometric feature extraction based emotional expression classification using machine learning algorithms
Gauci et al. Horizon: Facebook's open source applied reinforcement learning platform
US11741361B2 (en) Machine learning-based network model building method and apparatus
US20200242774A1 (en) Semantic image synthesis for generating substantially photorealistic images using neural networks
US20220237799A1 (en) Segmenting objects in digital images utilizing a multi-object segmentation model framework
US11468290B2 (en) Information processing apparatus, information processing method, and non-transitory computer-readable storage medium
US11816185B1 (en) Multi-view image analysis using neural networks
CN110363138A (zh) 模型训练方法、图像处理方法、装置、终端及存储介质
US20150278710A1 (en) Machine learning apparatus, machine learning method, and non-transitory computer-readable recording medium
CN118691568A (zh) 图像处理方法、计算机可读存储介质以及计算机终端
WO2019214344A1 (zh) 系统增强学习方法和装置、电子设备、计算机存储介质
US12293555B2 (en) Method and device of inputting annotation of object boundary information
CN113822144B (zh) 一种目标检测方法、装置、计算机设备和存储介质
JP2017054493A (ja) 情報処理装置及びその制御方法及びプログラム
US10304258B2 (en) Human feedback in 3D model fitting
CN119866493A (zh) 使用查询图的自动化查询选择度预测
CN117677973A (zh) 旁观者和附着对象移除
JP6570905B2 (ja) グラフ表示装置、グラフ表示プログラム及びグラフ表示プログラムが記憶されたコンピュータ読取可能な記憶媒体
KR102943072B1 (ko) 동작 유사도 평가 장치 및 동작 유사도 평가 방법
He et al. Facial landmark localization by part-aware deep convolutional network
US20240403601A1 (en) Method for inductive knowledge graph embedding using relation graphs and system thereof
JP2022062675A (ja) 類似画像検索による人流分析方法および装置
US20240169269A1 (en) Deploying simplified machine learning models to resource-constrained edge devices
KR102599192B1 (ko) 객체 검출 방법 및 이를 실행하기 위하여 기록매체에 기록된 컴퓨터 프로그램

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20211112

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20211112

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20221011

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20221208

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20230404

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20230411

R150 Certificate of patent or registration of utility model

Ref document number: 7262290

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150