JPWO2021095212A1 - - Google Patents
Info
- Publication number
- JPWO2021095212A1 JPWO2021095212A1 JP2021555729A JP2021555729A JPWO2021095212A1 JP WO2021095212 A1 JPWO2021095212 A1 JP WO2021095212A1 JP 2021555729 A JP2021555729 A JP 2021555729A JP 2021555729 A JP2021555729 A JP 2021555729A JP WO2021095212 A1 JPWO2021095212 A1 JP WO2021095212A1
- Authority
- JP
- Japan
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F18/256—Fusion techniques of classification results, e.g. of results related to same input data of results relating to different input data, e.g. multimodal recognition
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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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- 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
- G06N3/045—Combinations of networks
-
- 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
- G06N3/0499—Feedforward networks
-
- 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
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- 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
- G06N3/09—Supervised learning
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- 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
- G06V10/80—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 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
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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
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/048—Activation functions
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Mathematical Physics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Computational Linguistics (AREA)
- Databases & Information Systems (AREA)
- Biomedical Technology (AREA)
- Multimedia (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2019/044770 WO2021095212A1 (ja) | 2019-11-14 | 2019-11-14 | 出力方法、出力プログラム、および出力装置 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2021095212A1 true JPWO2021095212A1 (https=) | 2021-05-20 |
| JPWO2021095212A5 JPWO2021095212A5 (https=) | 2022-04-06 |
| JP7207568B2 JP7207568B2 (ja) | 2023-01-18 |
Family
ID=75911528
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021555729A Active JP7207568B2 (ja) | 2019-11-14 | 2019-11-14 | 出力方法、出力プログラム、および出力装置 |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20220237421A1 (https=) |
| JP (1) | JP7207568B2 (https=) |
| WO (1) | WO2021095212A1 (https=) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPWO2024184975A1 (https=) * | 2023-03-03 | 2024-09-12 |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2670861A1 (en) * | 2006-11-28 | 2008-06-05 | Calgary Scientific Inc. | Texture-based multi-dimensional medical image registration |
| WO2016100816A1 (en) * | 2014-12-19 | 2016-06-23 | United Technologies Corporation | Sensor data fusion for prognostics and health monitoring |
| US11210560B2 (en) * | 2019-10-02 | 2021-12-28 | Mitsubishi Electric Research Laboratories, Inc. | Multi-modal dense correspondence imaging system |
-
2019
- 2019-11-14 WO PCT/JP2019/044770 patent/WO2021095212A1/ja not_active Ceased
- 2019-11-14 JP JP2021555729A patent/JP7207568B2/ja active Active
-
2022
- 2022-04-12 US US17/719,211 patent/US20220237421A1/en active Pending
Non-Patent Citations (2)
| Title |
|---|
| LU, JIASEN, ET AL.: "ViLBERT: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks", ARXIV.ORG [ONLINE], JPN6019050741, 6 August 2019 (2019-08-06), pages 1 - 11, ISSN: 0004939377 * |
| NGUYEN, DUY-KIEN, ET AL.: "Improved fusion of visual and language representations by dense symmetric co-attention for visual qu", [ONLINE], JPN6019050744, 2018, pages 6087 - 6096, XP033473524, ISSN: 0004939378, DOI: 10.1109/CVPR.2018.00637 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2021095212A1 (ja) | 2021-05-20 |
| JP7207568B2 (ja) | 2023-01-18 |
| US20220237421A1 (en) | 2022-07-28 |
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