SG11202106062WA - Neural network training method and image matching method and device - Google Patents
Neural network training method and image matching method and deviceInfo
- Publication number
- SG11202106062WA SG11202106062WA SG11202106062WA SG11202106062WA SG11202106062WA SG 11202106062W A SG11202106062W A SG 11202106062WA SG 11202106062W A SG11202106062W A SG 11202106062WA SG 11202106062W A SG11202106062W A SG 11202106062WA SG 11202106062W A SG11202106062W A SG 11202106062WA
- Authority
- SG
- Singapore
- Prior art keywords
- neural network
- image matching
- network training
- matching method
- training method
- Prior art date
Links
- 238000000034 method Methods 0.000 title 2
- 238000013528 artificial neural network Methods 0.000 title 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- 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
- G06N3/08—Learning 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
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—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; 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
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Mathematical Physics (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Biodiversity & Conservation Biology (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811535420.4A CN109670591B (en) | 2018-12-14 | 2018-12-14 | Neural network training method and image matching method and device |
PCT/CN2019/114449 WO2020119311A1 (en) | 2018-12-14 | 2019-10-30 | Neural network training method and image matching method and device |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202106062WA true SG11202106062WA (en) | 2021-07-29 |
Family
ID=66144863
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202106062WA SG11202106062WA (en) | 2018-12-14 | 2019-10-30 | Neural network training method and image matching method and device |
Country Status (6)
Country | Link |
---|---|
US (1) | US20210287091A1 (en) |
JP (1) | JP2022510712A (en) |
CN (1) | CN109670591B (en) |
SG (1) | SG11202106062WA (en) |
TW (1) | TWI760650B (en) |
WO (1) | WO2020119311A1 (en) |
Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109670591B (en) * | 2018-12-14 | 2022-09-27 | 深圳市商汤科技有限公司 | Neural network training method and image matching method and device |
CN110197213B (en) * | 2019-05-21 | 2021-06-04 | 北京航空航天大学 | Image matching method, device and equipment based on neural network |
CN110555393A (en) * | 2019-08-16 | 2019-12-10 | 北京慧辰资道资讯股份有限公司 | method and device for analyzing pedestrian wearing characteristics from video data |
CN110879995A (en) * | 2019-12-02 | 2020-03-13 | 上海秒针网络科技有限公司 | Target object detection method and device, storage medium and electronic device |
US10769198B1 (en) | 2020-02-06 | 2020-09-08 | Caastle, Inc. | Systems and methods for product identification using image analysis from image mask and trained neural network |
CN111444974A (en) * | 2020-04-02 | 2020-07-24 | 成都三零凯天通信实业有限公司 | Clothing classification method based on zero sample recognition |
CN111723687A (en) * | 2020-06-02 | 2020-09-29 | 北京的卢深视科技有限公司 | Human body action recognition method and device based on neural network |
CN111860304B (en) * | 2020-07-17 | 2024-04-30 | 北京百度网讯科技有限公司 | Image labeling method, electronic device, equipment and storage medium |
CN111860332B (en) * | 2020-07-21 | 2022-05-31 | 国网山东省电力公司青岛供电公司 | Dual-channel electrokinetic diagram part detection method based on multi-threshold cascade detector |
CN112102256B (en) * | 2020-08-22 | 2022-04-12 | 复旦大学 | Narrow-band endoscopic image-oriented cancer focus detection and diagnosis system for early esophageal squamous carcinoma |
CN112330580B (en) * | 2020-10-30 | 2024-08-13 | 厦门窝赚科技有限公司 | Method, device, computing equipment and medium for generating human body clothing fusion image |
CN114550201A (en) * | 2020-11-24 | 2022-05-27 | 华为云计算技术有限公司 | Clothing standardization detection method and device |
CN112529768B (en) * | 2020-12-04 | 2023-01-06 | 中山大学 | Garment editing and generating method based on generation countermeasure network |
US11605176B2 (en) | 2021-01-21 | 2023-03-14 | Adobe, Inc. | Retrieving images that correspond to a target body type and pose |
US11907338B2 (en) * | 2021-01-26 | 2024-02-20 | Adobe Inc. | Retrieving images that correspond to a target subject matter within a target context |
CN113255237B (en) * | 2021-07-07 | 2021-12-10 | 杭州珞珈数据科技有限公司 | Retrieval model and method of clothes based on automatic modeling engine |
CN113409455A (en) * | 2021-07-16 | 2021-09-17 | 北京沃东天骏信息技术有限公司 | Clothing display method and device, electronic equipment and storage medium |
Family Cites Families (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8674989B1 (en) * | 2009-12-17 | 2014-03-18 | Google Inc. | System and method for rendering photorealistic images of clothing and apparel |
JP6300677B2 (en) * | 2014-07-31 | 2018-03-28 | 富士フイルム株式会社 | Coordinate suggestion apparatus and method |
JP6387290B2 (en) * | 2014-11-28 | 2018-09-05 | 日本電信電話株式会社 | Image search device, image registration device, image feature selection device, method, and program |
CN105469087B (en) * | 2015-07-13 | 2017-04-19 | 百度在线网络技术(北京)有限公司 | Method for identifying clothes image, and labeling method and device of clothes image |
US9811762B2 (en) * | 2015-09-22 | 2017-11-07 | Swati Shah | Clothing matching system and method |
CN105718552A (en) * | 2016-01-19 | 2016-06-29 | 北京服装学院 | Clothing freehand sketch based clothing image retrieval method |
CN107622071B (en) * | 2016-07-15 | 2020-01-07 | 上海媒智科技有限公司 | Clothes image retrieval system and method under non-source-retrieval condition through indirect correlation feedback |
CN106504064A (en) * | 2016-10-25 | 2017-03-15 | 清华大学 | Clothes classification based on depth convolutional neural networks recommends method and system with collocation |
CN108229489B (en) * | 2016-12-30 | 2020-08-11 | 北京市商汤科技开发有限公司 | Key point prediction method, network training method, image processing method, device and electronic equipment |
CN108229288B (en) * | 2017-06-23 | 2020-08-11 | 北京市商汤科技开发有限公司 | Neural network training and clothes color detection method and device, storage medium and electronic equipment |
CN107918780B (en) * | 2017-09-01 | 2021-09-03 | 中山大学 | Garment type and attribute classification method based on key point detection |
CN107845092A (en) * | 2017-11-14 | 2018-03-27 | 深圳码隆科技有限公司 | Clothes LOGO effect detection methods, device and electronic equipment |
CN108022161A (en) * | 2017-12-26 | 2018-05-11 | 河北中晟易通科技有限公司 | Clothing matching commending system based on image recognition and big data analysis |
CN109670591B (en) * | 2018-12-14 | 2022-09-27 | 深圳市商汤科技有限公司 | Neural network training method and image matching method and device |
-
2018
- 2018-12-14 CN CN201811535420.4A patent/CN109670591B/en active Active
-
2019
- 2019-10-25 TW TW108138710A patent/TWI760650B/en active
- 2019-10-30 SG SG11202106062WA patent/SG11202106062WA/en unknown
- 2019-10-30 WO PCT/CN2019/114449 patent/WO2020119311A1/en active Application Filing
- 2019-10-30 JP JP2021532389A patent/JP2022510712A/en active Pending
-
2021
- 2021-06-02 US US17/337,343 patent/US20210287091A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
CN109670591A (en) | 2019-04-23 |
JP2022510712A (en) | 2022-01-27 |
US20210287091A1 (en) | 2021-09-16 |
TWI760650B (en) | 2022-04-11 |
CN109670591B (en) | 2022-09-27 |
WO2020119311A1 (en) | 2020-06-18 |
TW202022782A (en) | 2020-06-16 |
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