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Info
- Publication number
- 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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- 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.)
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Classifications
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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
Landscapes
- 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)
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 (4)
| Publication Number | Publication Date |
|---|---|
| JP2023515367A JP2023515367A (ja) | 2023-04-13 |
| JP2023515367A5 JP2023515367A5 (https=) | 2024-01-17 |
| JPWO2021165053A5 JPWO2021165053A5 (https=) | 2024-01-17 |
| JP7768136B2 true JP7768136B2 (ja) | 2025-11-12 |
Family
ID=69723854
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022548651A Active JP7768136B2 (ja) | 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 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US20230377314A1 (https=) |
| EP (2) | EP3869401A1 (https=) |
| JP (1) | JP7768136B2 (https=) |
| CN (1) | CN115136192A (https=) |
| WO (1) | WO2021165053A1 (https=) |
Families Citing this family (8)
| 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 |
| CN116830126A (zh) * | 2020-11-23 | 2023-09-29 | 深透医疗公司 | 自动化医学图像质量控制系统 |
| 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 |
| US20250029240A1 (en) * | 2022-02-14 | 2025-01-23 | 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 |
Citations (5)
| 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)
| 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 |
| CN107567638B (zh) * | 2015-04-23 | 2021-10-15 | 皇家飞利浦有限公司 | 对解剖结构的基于模型的分割 |
| 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 |
-
2020
- 2020-02-21 EP EP20158708.6A patent/EP3869401A1/en not_active Withdrawn
-
2021
- 2021-02-05 JP JP2022548651A patent/JP7768136B2/ja active Active
- 2021-02-05 CN CN202180015890.1A patent/CN115136192A/zh active Pending
- 2021-02-05 WO PCT/EP2021/052750 patent/WO2021165053A1/en not_active Ceased
- 2021-02-05 EP EP21702515.4A patent/EP4107662A1/en not_active Withdrawn
- 2021-02-05 US US17/800,598 patent/US20230377314A1/en active Pending
Patent Citations (5)
| 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)
| 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 |
|---|---|
| CN115136192A (zh) | 2022-09-30 |
| EP3869401A1 (en) | 2021-08-25 |
| JP2023515367A (ja) | 2023-04-13 |
| EP4107662A1 (en) | 2022-12-28 |
| WO2021165053A1 (en) | 2021-08-26 |
| US20230377314A1 (en) | 2023-11-23 |
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