EP3698286A4 - Verfahren und system zur semantischen segmentierung mit einbeziehung eines neuronalen faltungsnetzes mit mehreren tasks - Google Patents

Verfahren und system zur semantischen segmentierung mit einbeziehung eines neuronalen faltungsnetzes mit mehreren tasks Download PDF

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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
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EP
European Patent Office
Prior art keywords
neural network
convolutional neural
semantic segmentation
involving multi
task convolutional
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.)
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Application number
EP18913207.9A
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English (en)
French (fr)
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EP3698286A1 (de
Inventor
Bao RUXIAO
Xu XUN
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Didi Infinity Technology and Development Co Ltd
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Beijing Didi Infinity Technology and Development Co Ltd
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Application filed by Beijing Didi Infinity Technology and Development Co Ltd filed Critical Beijing Didi Infinity Technology and Development Co Ltd
Publication of EP3698286A1 publication Critical patent/EP3698286A1/de
Publication of EP3698286A4 publication Critical patent/EP3698286A4/de
Withdrawn legal-status Critical Current

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    • 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
    • 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
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06T2207/20081—Training; Learning
    • 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
    • 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

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  • 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)
EP18913207.9A 2018-12-31 2018-12-31 Verfahren und system zur semantischen segmentierung mit einbeziehung eines neuronalen faltungsnetzes mit mehreren tasks Withdrawn EP3698286A4 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2018/068172 WO2020142077A1 (en) 2018-12-31 2018-12-31 Method and system for semantic segmentation involving multi-task convolutional neural network

Publications (2)

Publication Number Publication Date
EP3698286A1 EP3698286A1 (de) 2020-08-26
EP3698286A4 true EP3698286A4 (de) 2020-12-23

Family

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EP18913207.9A Withdrawn EP3698286A4 (de) 2018-12-31 2018-12-31 Verfahren und system zur semantischen segmentierung mit einbeziehung eines neuronalen faltungsnetzes mit mehreren tasks

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EP (1) EP3698286A4 (de)
WO (1) WO2020142077A1 (de)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
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
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
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
WO2024040544A1 (en) * 2022-08-26 2024-02-29 Intel Corporation Training neural network through many-to-one knowledge injection
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
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)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017198909A1 (en) * 2016-05-20 2017-11-23 Curious Ai Oy Segmentation of data

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
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
EP3698286A1 (de) 2020-08-26
WO2020142077A1 (en) 2020-07-09

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