JP7768136B2 - モデルへの入力インスタンスの分布外検出 - Google Patents

モデルへの入力インスタンスの分布外検出

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JP7768136B2
JP7768136B2 JP2022548651A JP2022548651A JP7768136B2 JP 7768136 B2 JP7768136 B2 JP 7768136B2 JP 2022548651 A JP2022548651 A JP 2022548651A JP 2022548651 A JP2022548651 A JP 2022548651A JP 7768136 B2 JP7768136 B2 JP 7768136B2
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JP2023515367A (ja
JP2023515367A5 (enExample
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ニコラ ペゾッティ
ディミトリオス マヴロエイディス
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Koninklijke Philips NV
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • 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
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/254—Fusion techniques of classification results, e.g. of results related to same input data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/809—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30168—Image quality inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Image Analysis (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
JP2022548651A 2020-02-21 2021-02-05 モデルへの入力インスタンスの分布外検出 Active JP7768136B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP20158708.6 2020-02-21
EP20158708.6A EP3869401A1 (en) 2020-02-21 2020-02-21 Out-of-distribution detection of input instances to a model
PCT/EP2021/052750 WO2021165053A1 (en) 2020-02-21 2021-02-05 Out-of-distribution detection of input instances to a model

Publications (3)

Publication Number Publication Date
JP2023515367A JP2023515367A (ja) 2023-04-13
JP2023515367A5 JP2023515367A5 (enExample) 2024-01-17
JP7768136B2 true JP7768136B2 (ja) 2025-11-12

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US (1) US20230377314A1 (enExample)
EP (2) EP3869401A1 (enExample)
JP (1) JP7768136B2 (enExample)
CN (1) CN115136192A (enExample)
WO (1) WO2021165053A1 (enExample)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021189130A1 (en) * 2020-03-24 2021-09-30 Olympus NDT Canada Inc. Compressive sensing for full matrix capture
WO2022108912A1 (en) * 2020-11-23 2022-05-27 Subtle Medical, Inc. Automated medical image quality control system
US12387085B2 (en) * 2021-05-21 2025-08-12 Samsung Electronics Co., Ltd. Deep learning device and system including the same
KR102567558B1 (ko) * 2021-09-16 2023-08-16 광주과학기술원 Ood 객체 탐지 방법 및 시스템
WO2023154573A1 (en) * 2022-02-14 2023-08-17 Bostongene Corporation Machine learning techniques for tertiary lymphoid structure (tls) detection
CN114565759A (zh) * 2022-02-22 2022-05-31 北京百度网讯科技有限公司 图像语义分割模型优化方法、装置、电子设备及存储介质
JP2024032098A (ja) * 2022-08-29 2024-03-12 沖電気工業株式会社 情報処理装置、情報処理方法およびプログラム
EP4428762A1 (en) * 2023-03-07 2024-09-11 Robert Bosch GmbH Determining whether a given input record of measurement data is covered by the training of a trained machine learning model
KR102968038B1 (ko) * 2025-08-11 2026-05-20 중앙대학교 산학협력단 불확실성을 기반으로 분포 외 객체를 식별하기 위한 방법, 이를 수행하는 컴퓨팅 장치 및 그의 동작 방법

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2018026122A (ja) 2016-08-03 2018-02-15 キヤノン株式会社 情報処理装置、情報処理方法及びプログラム
JP2018190127A (ja) 2017-05-01 2018-11-29 日本電信電話株式会社 判定装置、分析システム、判定方法および判定プログラム
JP2019139277A (ja) 2018-02-06 2019-08-22 オムロン株式会社 評価装置、動作制御装置、評価方法、及び評価プログラム
WO2019167884A1 (ja) 2018-02-28 2019-09-06 富士フイルム株式会社 機械学習方法及び装置、プログラム、学習済みモデル、並びに判別装置
US20190370972A1 (en) 2018-06-04 2019-12-05 University Of Central Florida Research Foundation, Inc. Capsules for image analysis

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5331550A (en) * 1991-03-05 1994-07-19 E. I. Du Pont De Nemours And Company Application of neural networks as an aid in medical diagnosis and general anomaly detection
RU2721078C2 (ru) * 2015-04-23 2020-05-15 Конинклейке Филипс Н.В. Сегментация анатомической структуры на основе модели
CN109344759A (zh) * 2018-06-12 2019-02-15 北京理工大学 一种基于角度损失神经网络的亲属识别方法
KR101940029B1 (ko) * 2018-07-11 2019-01-18 주식회사 마키나락스 어노말리 디텍션
CN109223016B (zh) * 2018-07-18 2022-06-07 江苏一影医疗设备有限公司 Ct成像方法及成像设备
CN114127747B (zh) * 2019-06-05 2025-09-09 谷歌有限责任公司 用于分布外检测的似然比
US20210142160A1 (en) * 2019-11-08 2021-05-13 Nvidia Corporation Processor and system to identify out-of-distribution input data in neural networks
EP3862927A1 (en) * 2020-02-05 2021-08-11 Another Brain Anomaly detector, method of anomaly detection and method of training an anomaly detector

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2018026122A (ja) 2016-08-03 2018-02-15 キヤノン株式会社 情報処理装置、情報処理方法及びプログラム
JP2018190127A (ja) 2017-05-01 2018-11-29 日本電信電話株式会社 判定装置、分析システム、判定方法および判定プログラム
JP2019139277A (ja) 2018-02-06 2019-08-22 オムロン株式会社 評価装置、動作制御装置、評価方法、及び評価プログラム
WO2019167884A1 (ja) 2018-02-28 2019-09-06 富士フイルム株式会社 機械学習方法及び装置、プログラム、学習済みモデル、並びに判別装置
US20190370972A1 (en) 2018-06-04 2019-12-05 University Of Central Florida Research Foundation, Inc. Capsules for image analysis

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Paul Bergmann(外3名),Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings,v1,2019年11月06日,p.1-10,https://arxiv.org/abs/1911.02357v1

Also Published As

Publication number Publication date
EP3869401A1 (en) 2021-08-25
EP4107662A1 (en) 2022-12-28
CN115136192A (zh) 2022-09-30
WO2021165053A1 (en) 2021-08-26
JP2023515367A (ja) 2023-04-13
US20230377314A1 (en) 2023-11-23

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