EP3698286A4 - Procédé et système de segmentation sémantique concernant un réseau neuronal convolutif - Google Patents
Procédé et système de segmentation sémantique concernant un réseau neuronal convolutif Download PDFInfo
- Publication number
- EP3698286A4 EP3698286A4 EP18913207.9A EP18913207A EP3698286A4 EP 3698286 A4 EP3698286 A4 EP 3698286A4 EP 18913207 A EP18913207 A EP 18913207A EP 3698286 A4 EP3698286 A4 EP 3698286A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- neuronal
- inclusion
- semantic segmentation
- several tasks
- folding network
- Prior art date
- 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.)
- Withdrawn
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Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 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
- G06N3/045—Combinations of networks
- G06N3/0455—Auto-encoder networks; Encoder-decoder 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
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- 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
-
- 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
- G06N3/096—Transfer learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
- G06T2207/30261—Obstacle
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Biomedical Technology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/US2018/068172 WO2020142077A1 (fr) | 2018-12-31 | 2018-12-31 | Procédé et système de segmentation sémantique concernant un réseau neuronal convolutif |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP3698286A1 EP3698286A1 (fr) | 2020-08-26 |
| EP3698286A4 true EP3698286A4 (fr) | 2020-12-23 |
Family
ID=71407381
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP18913207.9A Withdrawn EP3698286A4 (fr) | 2018-12-31 | 2018-12-31 | Procédé et système de segmentation sémantique concernant un réseau neuronal convolutif |
Country Status (2)
| Country | Link |
|---|---|
| EP (1) | EP3698286A4 (fr) |
| WO (1) | WO2020142077A1 (fr) |
Families Citing this family (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112489060B (zh) * | 2020-12-07 | 2022-05-10 | 北京医准智能科技有限公司 | 一种用于肺炎病灶分割的系统及方法 |
| CN113112454B (zh) * | 2021-03-22 | 2024-03-19 | 西北工业大学 | 一种基于任务动态学习部分标记的医学图像分割方法 |
| US12566941B2 (en) | 2021-03-25 | 2026-03-03 | GE Precision Healthcare LLC | Extension of existing neural networks without affecting existing outputs |
| CN113348463B (zh) * | 2021-04-26 | 2022-05-10 | 华为技术有限公司 | 一种信息处理方法及装置 |
| CN115376176A (zh) * | 2021-05-21 | 2022-11-22 | 阿里巴巴新加坡控股有限公司 | 图像处理方法及装置 |
| CN113689438A (zh) * | 2021-08-12 | 2021-11-23 | 华中农业大学 | 针对果粒边缘的葡萄果粒分割方法 |
| CN114240945B (zh) * | 2022-02-28 | 2022-05-10 | 科大天工智能装备技术（天津）有限公司 | 一种基于目标分割的桥梁钢索断裂检测方法及系统 |
| CN114915786B (zh) * | 2022-04-26 | 2023-07-28 | 哈尔滨工业大学（深圳） | 一种面向物联网场景的非对称语义图像压缩方法 |
| CN114972313B (zh) * | 2022-06-22 | 2024-04-19 | 北京航空航天大学 | 图像分割网络预训练方法及装置 |
| CN115273813B (zh) * | 2022-07-08 | 2025-10-24 | 珠海亿智电子科技有限公司 | 哭声检测网络训练方法、装置、电子设备及存储介质 |
| CN116543448B (zh) * | 2022-07-14 | 2026-01-06 | 南京航空航天大学 | 一种被动式太赫兹图像的固定背景下人体自动跟踪方法 |
| EP4577945A1 (fr) * | 2022-08-26 | 2025-07-02 | INTEL Corporation | Entraînement d'un réseau de neurones artificiels par injection de connaissances à origines mutiples et destination unique |
| CN116109825A (zh) * | 2023-02-03 | 2023-05-12 | 华为技术有限公司 | 语义分割模型训练方法、语义分割方法和装置 |
| CN116342883B (zh) * | 2023-03-30 | 2026-02-24 | 浙江大学 | 一种端到端无监督激光里程计与语义分割结合的方法 |
| CN116452983B (zh) * | 2023-06-12 | 2023-10-10 | 合肥工业大学 | 一种基于无人机航拍影像的国土地貌变化快速发现方法 |
| CN117115650A (zh) * | 2023-08-25 | 2023-11-24 | 齐鲁工业大学(山东省科学院) | 一种基于编解码器技术的城市道路语义分割方法及系统 |
| CN117574179B (zh) * | 2024-01-16 | 2024-05-28 | 北京趋动智能科技有限公司 | 多任务学习模型构建方法及装置 |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11481585B2 (en) * | 2016-05-20 | 2022-10-25 | Canary Capital Llc | Segmentation of data |
-
2018
- 2018-12-31 EP EP18913207.9A patent/EP3698286A4/fr not_active Withdrawn
- 2018-12-31 WO PCT/US2018/068172 patent/WO2020142077A1/fr not_active Ceased
Non-Patent Citations (5)
| Title |
|---|
| CIPOLLA ROBERTO ET AL: "Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics", 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, IEEE, 18 June 2018 (2018-06-18), pages 7482 - 7491, XP033473668, DOI: 10.1109/CVPR.2018.00781 * |
| DUY-KIEN NGUYEN ET AL: "Multi-task Learning of Hierarchical Vision-Language Representation", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 3 December 2018 (2018-12-03), XP080988112 * |
| NEVEN DAVY ET AL: "Towards End-to-End Lane Detection: an Instance Segmentation Approach", 2018 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), IEEE, 26 June 2018 (2018-06-26), pages 286 - 291, XP033423446, DOI: 10.1109/IVS.2018.8500547 * |
| See also references of WO2020142077A1 * |
| XUE DI-XIU ET AL: "Fully convolutional networks with double-label for esophageal cancer image segmentation by self-transfer learning", PROCEEDINGS OF SPIE; [PROCEEDINGS OF SPIE ISSN 0277-786X VOLUME 10524], SPIE, US, vol. 10420, 21 July 2017 (2017-07-21), pages 104202D - 104202D, XP060092290, ISBN: 978-1-5106-1533-5, DOI: 10.1117/12.2282000 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020142077A1 (fr) | 2020-07-09 |
| EP3698286A1 (fr) | 2020-08-26 |
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