SG11202007158UA - Object prediction method and apparatus, electronic device and storage medium - Google Patents
Object prediction method and apparatus, electronic device and storage mediumInfo
- Publication number
- SG11202007158UA SG11202007158UA SG11202007158UA SG11202007158UA SG11202007158UA SG 11202007158U A SG11202007158U A SG 11202007158UA SG 11202007158U A SG11202007158U A SG 11202007158UA SG 11202007158U A SG11202007158U A SG 11202007158UA SG 11202007158U A SG11202007158U A SG 11202007158UA
- Authority
- SG
- Singapore
- Prior art keywords
- electronic device
- storage medium
- prediction method
- object prediction
- medium
- Prior art date
Links
Classifications
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- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2431—Multiple classes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/253—Fusion techniques of extracted features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/254—Fusion techniques of classification results, e.g. of results related to same input data
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- 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
-
- 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
- G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
- G06V10/806—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted features
-
- 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
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/64—Three-dimensional objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- Mathematical Physics (AREA)
- Geometry (AREA)
- Image Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810421005.XA CN110443266B (en) | 2018-05-04 | 2018-05-04 | Object prediction method and device, electronic equipment and storage medium |
PCT/CN2019/077152 WO2019210737A1 (en) | 2018-05-04 | 2019-03-06 | Object prediction method and apparatus, electronic device and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202007158UA true SG11202007158UA (en) | 2020-08-28 |
Family
ID=68386249
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202007158UA SG11202007158UA (en) | 2018-05-04 | 2019-03-06 | Object prediction method and apparatus, electronic device and storage medium |
Country Status (6)
Country | Link |
---|---|
US (1) | US11593596B2 (en) |
JP (1) | JP7085632B2 (en) |
KR (1) | KR102406765B1 (en) |
CN (1) | CN110443266B (en) |
SG (1) | SG11202007158UA (en) |
WO (1) | WO2019210737A1 (en) |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110930386B (en) * | 2019-11-20 | 2024-02-20 | 重庆金山医疗技术研究院有限公司 | Image processing method, device, equipment and storage medium |
CN111767810B (en) * | 2020-06-18 | 2022-08-02 | 哈尔滨工程大学 | Remote sensing image road extraction method based on D-LinkNet |
US20230114556A1 (en) * | 2020-07-14 | 2023-04-13 | Google Llc | Neural network models using peer-attention |
US20220201317A1 (en) * | 2020-12-22 | 2022-06-23 | Ssimwave Inc. | Video asset quality assessment and encoding optimization to achieve target quality requirement |
JP2023527615A (en) * | 2021-04-28 | 2023-06-30 | ベイジン バイドゥ ネットコム サイエンス テクノロジー カンパニー リミテッド | Target object detection model training method, target object detection method, device, electronic device, storage medium and computer program |
CN113313511A (en) * | 2021-04-30 | 2021-08-27 | 北京奇艺世纪科技有限公司 | Video traffic prediction method, device, electronic equipment and medium |
CN113947246B (en) * | 2021-10-21 | 2023-06-13 | 腾讯科技(深圳)有限公司 | Loss processing method and device based on artificial intelligence and electronic equipment |
CN114511452B (en) * | 2021-12-06 | 2024-03-19 | 中南大学 | Remote sensing image retrieval method integrating multi-scale cavity convolution and triplet attention |
CN117457101B (en) * | 2023-12-22 | 2024-03-26 | 中国农业科学院烟草研究所(中国烟草总公司青州烟草研究所) | Method, medium and system for predicting moisture content of cured tobacco leaves |
Family Cites Families (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7596243B2 (en) * | 2005-09-16 | 2009-09-29 | Sony Corporation | Extracting a moving object boundary |
CN101169827B (en) * | 2007-12-03 | 2010-06-02 | 北京中星微电子有限公司 | Method and device for tracking characteristic point of image |
JP6127219B2 (en) * | 2013-11-30 | 2017-05-10 | ベイジン センスタイム テクノロジー デベロップメント カンパニー, リミテッド | Method and system for extracting facial features from facial image data |
CN104217216B (en) * | 2014-09-01 | 2017-10-17 | 华为技术有限公司 | Generate method and apparatus, the method and apparatus for detecting target of detection model |
US10860837B2 (en) * | 2015-07-20 | 2020-12-08 | University Of Maryland, College Park | Deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition |
US10417529B2 (en) * | 2015-09-15 | 2019-09-17 | Samsung Electronics Co., Ltd. | Learning combinations of homogenous feature arrangements |
KR20170050448A (en) * | 2015-10-30 | 2017-05-11 | 삼성에스디에스 주식회사 | Method and apparatus for detecting object on image |
US10275684B2 (en) * | 2015-11-04 | 2019-04-30 | Samsung Electronics Co., Ltd. | Authentication method and apparatus, and method and apparatus for training a recognizer |
US10002313B2 (en) * | 2015-12-15 | 2018-06-19 | Sighthound, Inc. | Deeply learned convolutional neural networks (CNNS) for object localization and classification |
CN105701508B (en) * | 2016-01-12 | 2017-12-15 | 西安交通大学 | Global local optimum model and conspicuousness detection algorithm based on multistage convolutional neural networks |
CN106203318B (en) * | 2016-06-29 | 2019-06-11 | 浙江工商大学 | Camera network pedestrian recognition method based on the fusion of multi-level depth characteristic |
US10467459B2 (en) * | 2016-09-09 | 2019-11-05 | Microsoft Technology Licensing, Llc | Object detection based on joint feature extraction |
CN106845549B (en) * | 2017-01-22 | 2020-08-21 | 珠海习悦信息技术有限公司 | Scene and target identification method and device based on multi-task learning |
CN107704866B (en) * | 2017-06-15 | 2021-03-23 | 清华大学 | Multitask scene semantic understanding model based on novel neural network and application thereof |
CN110838124B (en) * | 2017-09-12 | 2021-06-18 | 深圳科亚医疗科技有限公司 | Method, system, and medium for segmenting images of objects having sparse distribution |
US11037032B2 (en) * | 2017-10-06 | 2021-06-15 | Wisconsin Alumni Research Foundation | Methods, systems, and media for detecting the presence of an analyte |
CN108108657B (en) * | 2017-11-16 | 2020-10-30 | 浙江工业大学 | Method for correcting locality sensitive Hash vehicle retrieval based on multitask deep learning |
CN107967451B (en) * | 2017-11-23 | 2021-04-27 | 常州大学 | Method for counting crowd of still image |
CN107958216A (en) * | 2017-11-27 | 2018-04-24 | 沈阳航空航天大学 | Based on semi-supervised multi-modal deep learning sorting technique |
US10740654B2 (en) * | 2018-01-22 | 2020-08-11 | Qualcomm Incorporated | Failure detection for a neural network object tracker |
-
2018
- 2018-05-04 CN CN201810421005.XA patent/CN110443266B/en active Active
-
2019
- 2019-03-06 JP JP2020540732A patent/JP7085632B2/en active Active
- 2019-03-06 SG SG11202007158UA patent/SG11202007158UA/en unknown
- 2019-03-06 WO PCT/CN2019/077152 patent/WO2019210737A1/en active Application Filing
- 2019-03-06 KR KR1020207022191A patent/KR102406765B1/en active IP Right Grant
-
2020
- 2020-08-05 US US16/985,747 patent/US11593596B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
JP2021512407A (en) | 2021-05-13 |
WO2019210737A1 (en) | 2019-11-07 |
KR102406765B1 (en) | 2022-06-08 |
JP7085632B2 (en) | 2022-06-16 |
US20200364518A1 (en) | 2020-11-19 |
KR20200105500A (en) | 2020-09-07 |
US11593596B2 (en) | 2023-02-28 |
CN110443266B (en) | 2022-06-24 |
CN110443266A (en) | 2019-11-12 |
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