JPWO2021165053A5 - - Google Patents
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- JPWO2021165053A5 JPWO2021165053A5 JP2022548651A JP2022548651A JPWO2021165053A5 JP WO2021165053 A5 JPWO2021165053 A5 JP WO2021165053A5 JP 2022548651 A JP2022548651 A JP 2022548651A JP 2022548651 A JP2022548651 A JP 2022548651A JP WO2021165053 A5 JPWO2021165053 A5 JP WO2021165053A5
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- JP
- Japan
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- main model
- output image
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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 true JPWO2021165053A5 (https=) | 2024-01-17 |
| JP7768136B2 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 |
Family Cites Families (13)
| 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 |
| US10706327B2 (en) | 2016-08-03 | 2020-07-07 | Canon Kabushiki Kaisha | Information processing apparatus, information processing method, and storage medium |
| JP6585654B2 (ja) | 2017-05-01 | 2019-10-02 | 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 |
| JP7020156B2 (ja) | 2018-02-06 | 2022-02-16 | 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 |
| JP6887055B2 (ja) | 2018-02-28 | 2021-06-16 | 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 |
| US11010902B2 (en) | 2018-06-04 | 2021-05-18 | University Of Central Florida Research Foundation, Inc. | Capsules for image analysis |
| 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
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