SG11202110629VA - Method and system for image classification - Google Patents
Method and system for image classificationInfo
- Publication number
- SG11202110629VA SG11202110629VA SG11202110629VA SG11202110629VA SG11202110629VA SG 11202110629V A SG11202110629V A SG 11202110629VA SG 11202110629V A SG11202110629V A SG 11202110629VA SG 11202110629V A SG11202110629V A SG 11202110629VA SG 11202110629V A SG11202110629V A SG 11202110629VA
- Authority
- SG
- Singapore
- Prior art keywords
- image classification
- classification
- image
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V10/765—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects using rules for classification or partitioning the feature space
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
- G06V10/7747—Organisation of the process, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/048—Activation functions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SG10201902708Y | 2019-03-26 | ||
PCT/SG2020/050169 WO2020197501A1 (en) | 2019-03-26 | 2020-03-26 | Method and system for image classification |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202110629VA true SG11202110629VA (en) | 2021-10-28 |
Family
ID=72609984
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202110629VA SG11202110629VA (en) | 2019-03-26 | 2020-03-26 | Method and system for image classification |
Country Status (3)
Country | Link |
---|---|
US (1) | US11836632B2 (en) |
SG (1) | SG11202110629VA (en) |
WO (1) | WO2020197501A1 (en) |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3997625A4 (en) * | 2019-10-29 | 2022-11-09 | Samsung Electronics Co., Ltd. | Electronic apparatus and method for controlling thereof |
CN116724340A (en) * | 2020-10-08 | 2023-09-08 | ***纪念研究院 | Artificial Intelligence (AI) aided analysis of electron microscope data |
CN112949722B (en) * | 2021-03-05 | 2023-05-05 | 北京大学深圳研究生院 | Image combination feature expression-based few-sample learning method and system |
CN112949740B (en) * | 2021-03-17 | 2022-11-25 | 重庆邮电大学 | Small sample image classification method based on multilevel measurement |
CN113610183B (en) * | 2021-08-19 | 2022-06-03 | 哈尔滨理工大学 | Increment learning method based on triple diversity example set and gradient regularization |
CN113642532B (en) * | 2021-10-13 | 2022-02-08 | 广州虎牙信息科技有限公司 | Video classification model processing method and device and data processing equipment |
US11948358B2 (en) * | 2021-11-16 | 2024-04-02 | Adobe Inc. | Self-supervised hierarchical event representation learning |
CN116168311B (en) * | 2023-04-18 | 2023-07-18 | 中国人民解放军战略支援部队航天工程大学 | Unmanned aerial vehicle remote sensing monitoring system and method for forest diseases and insect pests |
CN116258944B (en) * | 2023-05-15 | 2023-07-21 | 成都理工大学 | Remote sensing image classification model sample increment learning method based on double networks |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6728689B1 (en) * | 2000-11-14 | 2004-04-27 | International Business Machines Corporation | Method and apparatus for generating a data classification model using interactive adaptive learning algorithms |
WO2005117693A1 (en) * | 2004-05-27 | 2005-12-15 | Children's Medical Center Corporation | Patient-specific seizure onset detection system |
US20090083332A1 (en) | 2007-09-21 | 2009-03-26 | The Penn State Research Foundation | Tagging over time: real-world image annotation by lightweight metalearning |
CN101178773B (en) * | 2007-12-13 | 2010-08-11 | 北京中星微电子有限公司 | Image recognition system and method based on characteristic extracting and categorizer |
US9256838B2 (en) | 2013-03-15 | 2016-02-09 | International Business Machines Corporation | Scalable online hierarchical meta-learning |
CN104239501B (en) * | 2014-09-10 | 2017-04-12 | 中国电子科技集团公司第二十八研究所 | Mass video semantic annotation method based on Spark |
US11017323B2 (en) * | 2015-01-24 | 2021-05-25 | Psymark Llc | Method and apparatus for improving a profile analysis of an interpretive framework based on digital measurement of the production of and responses to visual stimuli |
US20160350336A1 (en) * | 2015-05-31 | 2016-12-01 | Allyke, Inc. | Automated image searching, exploration and discovery |
CN106874921B (en) | 2015-12-11 | 2020-12-04 | 清华大学 | Image classification method and device |
-
2020
- 2020-03-26 SG SG11202110629VA patent/SG11202110629VA/en unknown
- 2020-03-26 US US17/598,135 patent/US11836632B2/en active Active
- 2020-03-26 WO PCT/SG2020/050169 patent/WO2020197501A1/en active Application Filing
Also Published As
Publication number | Publication date |
---|---|
US11836632B2 (en) | 2023-12-05 |
WO2020197501A1 (en) | 2020-10-01 |
US20220189143A1 (en) | 2022-06-16 |
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