JP7400827B2 - 検出方法、検出プログラムおよび情報処理装置 - Google Patents
検出方法、検出プログラムおよび情報処理装置 Download PDFInfo
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- JP7400827B2 JP7400827B2 JP2021553229A JP2021553229A JP7400827B2 JP 7400827 B2 JP7400827 B2 JP 7400827B2 JP 2021553229 A JP2021553229 A JP 2021553229A JP 2021553229 A JP2021553229 A JP 2021553229A JP 7400827 B2 JP7400827 B2 JP 7400827B2
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- 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
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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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
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
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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
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/285—Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2019/041690 WO2021079459A1 (ja) | 2019-10-24 | 2019-10-24 | 検出方法、検出プログラムおよび情報処理装置 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2021079459A1 JPWO2021079459A1 (https=) | 2021-04-29 |
| JPWO2021079459A5 JPWO2021079459A5 (https=) | 2022-06-03 |
| JP7400827B2 true JP7400827B2 (ja) | 2023-12-19 |
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ID=75620436
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021553229A Active JP7400827B2 (ja) | 2019-10-24 | 2019-10-24 | 検出方法、検出プログラムおよび情報処理装置 |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20220207307A1 (https=) |
| JP (1) | JP7400827B2 (https=) |
| WO (1) | WO2021079459A1 (https=) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7306468B2 (ja) * | 2019-10-24 | 2023-07-11 | 富士通株式会社 | 検出方法、検出プログラムおよび情報処理装置 |
| CN111797893B (zh) * | 2020-05-26 | 2021-09-14 | 华为技术有限公司 | 一种神经网络的训练方法、图像分类系统及相关设备 |
| US20240289691A1 (en) * | 2021-06-29 | 2024-08-29 | Nec Corporation | Machine learning model improvement measure presenting apparatus |
| US20240096063A1 (en) * | 2022-09-21 | 2024-03-21 | Microsoft Technology Licensing, Llc | Integrating model reuse with model retraining for video analytics |
| WO2024247048A1 (ja) * | 2023-05-29 | 2024-12-05 | 日本電信電話株式会社 | 逆像推定装置、逆像推定方法及びプログラム |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016152053A1 (ja) | 2015-03-23 | 2016-09-29 | 日本電気株式会社 | 精度推定モデル生成システムおよび精度推定システム |
| JP2019164774A (ja) | 2018-03-15 | 2019-09-26 | 富士通株式会社 | 学習装置、検査装置、学習検査方法、学習プログラムおよび検査プログラム |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180268292A1 (en) * | 2017-03-17 | 2018-09-20 | Nec Laboratories America, Inc. | Learning efficient object detection models with knowledge distillation |
| US11410029B2 (en) * | 2018-01-02 | 2022-08-09 | International Business Machines Corporation | Soft label generation for knowledge distillation |
| US11487997B2 (en) * | 2018-10-04 | 2022-11-01 | Visa International Service Association | Method, system, and computer program product for local approximation of a predictive model |
| CN113614738B (zh) * | 2019-03-22 | 2024-12-17 | 国际商业机器公司 | 使用蒸馏的具有个体目标类别的多个模型的统一 |
-
2019
- 2019-10-24 JP JP2021553229A patent/JP7400827B2/ja active Active
- 2019-10-24 WO PCT/JP2019/041690 patent/WO2021079459A1/ja not_active Ceased
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2022
- 2022-03-15 US US17/694,716 patent/US20220207307A1/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016152053A1 (ja) | 2015-03-23 | 2016-09-29 | 日本電気株式会社 | 精度推定モデル生成システムおよび精度推定システム |
| JP2019164774A (ja) | 2018-03-15 | 2019-09-26 | 富士通株式会社 | 学習装置、検査装置、学習検査方法、学習プログラムおよび検査プログラム |
Non-Patent Citations (1)
| Title |
|---|
| ROMERO, Adriana ほか,FitNets: Hints for Thin Deep Nets,arXiv[online],2015年03月27日,pp.1-13,[retrieved on 2019.12.19], Retrieved from the Internet: <URL: https://arxiv.org/pdf/1412.6550v4> |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2021079459A1 (ja) | 2021-04-29 |
| US20220207307A1 (en) | 2022-06-30 |
| JPWO2021079459A1 (https=) | 2021-04-29 |
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