SG11202005886RA - Target object processing method and apparatus, electronic device, and storage medium - Google Patents
Target object processing method and apparatus, electronic device, and storage mediumInfo
- Publication number
- SG11202005886RA SG11202005886RA SG11202005886RA SG11202005886RA SG11202005886RA SG 11202005886R A SG11202005886R A SG 11202005886RA SG 11202005886R A SG11202005886R A SG 11202005886RA SG 11202005886R A SG11202005886R A SG 11202005886RA SG 11202005886R A SG11202005886R A SG 11202005886RA
- Authority
- SG
- Singapore
- Prior art keywords
- electronic device
- storage medium
- processing method
- target object
- object processing
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 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
- G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
-
- 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
-
- 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
- G06V10/776—Validation; Performance evaluation
-
- 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
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/70—Labelling scene content, e.g. deriving syntactic or semantic representations
-
- 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
- G06V2201/07—Target detection
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Multimedia (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Mathematical Physics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Image Analysis (AREA)
- Electrical Discharge Machining, Electrochemical Machining, And Combined Machining (AREA)
- Multi-Process Working Machines And Systems (AREA)
- Supplying Of Containers To The Packaging Station (AREA)
- Image Processing (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910098735.5A CN109766954B (zh) | 2019-01-31 | 2019-01-31 | 一种目标对象处理方法、装置、电子设备及存储介质 |
| PCT/CN2019/101448 WO2020155609A1 (zh) | 2019-01-31 | 2019-08-19 | 一种目标对象处理方法、装置、电子设备及存储介质 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| SG11202005886RA true SG11202005886RA (en) | 2020-11-27 |
Family
ID=66455838
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| SG11202005886RA SG11202005886RA (en) | 2019-01-31 | 2019-08-19 | Target object processing method and apparatus, electronic device, and storage medium |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US11403489B2 (https=) |
| JP (1) | JP7064593B2 (https=) |
| KR (1) | KR20200096556A (https=) |
| CN (1) | CN109766954B (https=) |
| SG (1) | SG11202005886RA (https=) |
| TW (1) | TWI772668B (https=) |
| WO (1) | WO2020155609A1 (https=) |
Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019211134A1 (en) * | 2018-05-02 | 2019-11-07 | Telefonaktiebolaget Lm Ericsson (Publ) | First network node, third network node, and methods performed thereby, for handling a performance of a radio access network |
| CN109766954B (zh) * | 2019-01-31 | 2020-12-04 | 北京市商汤科技开发有限公司 | 一种目标对象处理方法、装置、电子设备及存储介质 |
| CN110147836B (zh) * | 2019-05-13 | 2021-07-02 | 腾讯科技(深圳)有限公司 | 模型训练方法、装置、终端及存储介质 |
| CN112417986B (zh) * | 2020-10-30 | 2023-03-10 | 四川天翼网络股份有限公司 | 一种基于深度神经网络模型的半监督在线人脸识别方法及系统 |
| US20220172064A1 (en) * | 2020-12-02 | 2022-06-02 | Htc Corporation | Machine learning method and machine learning device for eliminating spurious correlation |
| CN112419413B (zh) * | 2020-12-07 | 2024-01-05 | 萱闱(北京)生物科技有限公司 | 终端设备的运动方向监测方法、介质、装置和计算设备 |
| CN113240119B (zh) * | 2021-04-08 | 2024-03-19 | 南京大学 | 一种用于游戏ai策略解释的跨模型蒸馏装置 |
| CN113205120B (zh) * | 2021-04-20 | 2023-11-24 | 北京百度网讯科技有限公司 | 数据标注方法、装置、电子设备及可读存储介质 |
| CN113111878B (zh) * | 2021-04-30 | 2022-03-18 | 中北大学 | 一种复杂背景下的红外弱小目标检测方法 |
| CN113364543B (zh) * | 2021-06-03 | 2022-03-15 | 厦门大学 | 一种基于联邦强化学习的边缘计算模型训练方法 |
| CN114572233B (zh) * | 2022-03-25 | 2022-11-29 | 阿波罗智能技术(北京)有限公司 | 基于模型集合的预测方法、电子设备及自动驾驶车辆 |
| US12495190B2 (en) * | 2022-05-04 | 2025-12-09 | International Business Machines Corporation | Dynamically generated interactive video content |
| CN115631363A (zh) * | 2022-09-27 | 2023-01-20 | 北京航空航天大学杭州创新研究院 | 一种目标检测方法和系统 |
| CN115797753A (zh) * | 2022-11-01 | 2023-03-14 | 联想(北京)有限公司 | 一种处理方法、装置和电子设备 |
| CN116050433B (zh) * | 2023-02-13 | 2024-03-26 | 北京百度网讯科技有限公司 | 自然语言处理模型的场景适配方法、装置、设备及介质 |
| CN118820699B (zh) * | 2024-09-13 | 2024-11-22 | 安徽至博光电科技股份有限公司 | 一种基于光纤传感的管道泄漏监测方法及系统 |
Family Cites Families (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7764231B1 (en) * | 1996-09-09 | 2010-07-27 | Tracbeam Llc | Wireless location using multiple mobile station location techniques |
| TW200415524A (en) * | 2002-10-24 | 2004-08-16 | Univ Duke | Binary prediction tree modeling with many predictors and its uses in clinical and genomic applications |
| US8582807B2 (en) * | 2010-03-15 | 2013-11-12 | Nec Laboratories America, Inc. | Systems and methods for determining personal characteristics |
| CN103366163B (zh) * | 2013-07-15 | 2016-07-20 | 北京丰华联合科技有限公司 | 基于增量学习的人脸检测系统和方法 |
| US20160066894A1 (en) * | 2014-03-21 | 2016-03-10 | Razzberry Inc. | Health state monitoring device |
| US9619753B2 (en) * | 2014-12-30 | 2017-04-11 | Winbond Electronics Corp. | Data analysis system and method |
| US10878320B2 (en) * | 2015-07-22 | 2020-12-29 | Qualcomm Incorporated | Transfer learning in neural networks |
| CN106097346B (zh) * | 2016-06-13 | 2019-08-27 | 中国科学技术大学 | 一种自学习的视频火灾探测方法 |
| CN106529485A (zh) * | 2016-11-16 | 2017-03-22 | 北京旷视科技有限公司 | 用于获取训练数据的方法及装置 |
| CN106919980B (zh) * | 2017-01-24 | 2020-02-07 | 南京大学 | 一种基于神经节分化的增量式目标识别系统 |
| US11017291B2 (en) * | 2017-04-28 | 2021-05-25 | Intel Corporation | Training with adaptive runtime and precision profiling |
| CN107358257B (zh) * | 2017-07-07 | 2019-07-16 | 华南理工大学 | 一种大数据场景下可增量学习的图像分类训练方法 |
| CN107944374A (zh) * | 2017-11-20 | 2018-04-20 | 北京奇虎科技有限公司 | 视频数据中特定对象检测方法及装置、计算设备 |
| CN108229591B (zh) * | 2018-03-15 | 2020-09-22 | 北京市商汤科技开发有限公司 | 神经网络自适应训练方法和装置、设备、程序和存储介质 |
| CN108764269A (zh) * | 2018-04-03 | 2018-11-06 | 华南理工大学 | 一种基于时空约束增量学习的跨数据集行人再识别方法 |
| CN108545556B (zh) * | 2018-05-02 | 2019-10-01 | 中国科学院计算技术研究所 | 基于神经网络的信息处理装置及方法 |
| CN108764487B (zh) * | 2018-05-29 | 2022-07-08 | 北京百度网讯科技有限公司 | 用于生成模型的方法和装置、用于识别信息的方法和装置 |
| CN109242013B (zh) * | 2018-08-28 | 2021-06-08 | 北京九狐时代智能科技有限公司 | 一种数据标注方法、装置、电子设备及存储介质 |
| CN109224442B (zh) * | 2018-09-03 | 2021-06-11 | 腾讯科技(深圳)有限公司 | 虚拟场景的数据处理方法、装置及存储介质 |
| US11158286B2 (en) * | 2018-10-05 | 2021-10-26 | Disney Enterprises, Inc. | Machine learning color science conversion |
| WO2020081470A1 (en) * | 2018-10-15 | 2020-04-23 | Flir Commercial Systems, Inc. | Deep learning inference systems and methods for imaging systems |
| US10867210B2 (en) * | 2018-12-21 | 2020-12-15 | Waymo Llc | Neural networks for coarse- and fine-object classifications |
| CN109766954B (zh) * | 2019-01-31 | 2020-12-04 | 北京市商汤科技开发有限公司 | 一种目标对象处理方法、装置、电子设备及存储介质 |
-
2019
- 2019-01-31 CN CN201910098735.5A patent/CN109766954B/zh active Active
- 2019-08-19 WO PCT/CN2019/101448 patent/WO2020155609A1/zh not_active Ceased
- 2019-08-19 SG SG11202005886RA patent/SG11202005886RA/en unknown
- 2019-08-19 KR KR1020207018377A patent/KR20200096556A/ko not_active Abandoned
- 2019-08-19 JP JP2020533136A patent/JP7064593B2/ja active Active
- 2019-08-20 TW TW108129693A patent/TWI772668B/zh active
-
2020
- 2020-06-15 US US16/901,190 patent/US11403489B2/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN109766954B (zh) | 2020-12-04 |
| WO2020155609A1 (zh) | 2020-08-06 |
| TW202030648A (zh) | 2020-08-16 |
| US20200311476A1 (en) | 2020-10-01 |
| JP2021514499A (ja) | 2021-06-10 |
| CN109766954A (zh) | 2019-05-17 |
| JP7064593B2 (ja) | 2022-05-10 |
| KR20200096556A (ko) | 2020-08-12 |
| TWI772668B (zh) | 2022-08-01 |
| US11403489B2 (en) | 2022-08-02 |
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