JP7794314B2 - 訓練プログラム，訓練方法及び情報処理装置 - Google Patents

訓練プログラム，訓練方法及び情報処理装置

Info

Publication number
JP7794314B2
JP7794314B2 JP2024528009A JP2024528009A JP7794314B2 JP 7794314 B2 JP7794314 B2 JP 7794314B2 JP 2024528009 A JP2024528009 A JP 2024528009A JP 2024528009 A JP2024528009 A JP 2024528009A JP 7794314 B2 JP7794314 B2 JP 7794314B2
Authority
JP
Japan
Prior art keywords
data
encoder
relationship
feature
objects
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.)
Active
Application number
JP2024528009A
Other languages
English (en)
Japanese (ja)
Other versions
JPWO2023243020A1 (https=
JPWO2023243020A5 (https=
Inventor
創 長谷川
正之 廣本
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.)
Fujitsu Ltd
Original Assignee
Fujitsu Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Fujitsu Ltd filed Critical Fujitsu Ltd
Publication of JPWO2023243020A1 publication Critical patent/JPWO2023243020A1/ja
Publication of JPWO2023243020A5 publication Critical patent/JPWO2023243020A5/ja
Application granted granted Critical
Publication of JP7794314B2 publication Critical patent/JP7794314B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7753—Incorporation of unlabelled data, e.g. multiple instance learning [MIL]
    • 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
    • G06N3/0895—Weakly supervised learning, e.g. semi-supervised or self-supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • 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
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • 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
    • 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)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Multimedia (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Image Analysis (AREA)
JP2024528009A 2022-06-15 2022-06-15 訓練プログラム，訓練方法及び情報処理装置 Active JP7794314B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2022/024037 WO2023243020A1 (ja) 2022-06-15 2022-06-15 訓練プログラム，訓練方法及び情報処理装置

Publications (3)

Publication Number Publication Date
JPWO2023243020A1 JPWO2023243020A1 (https=) 2023-12-21
JPWO2023243020A5 JPWO2023243020A5 (https=) 2025-01-27
JP7794314B2 true JP7794314B2 (ja) 2026-01-06

Family

ID=89192495

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2024528009A Active JP7794314B2 (ja) 2022-06-15 2022-06-15 訓練プログラム，訓練方法及び情報処理装置

Country Status (5)

Country Link
US (1) US20250029373A1 (https=)
EP (1) EP4542463A4 (https=)
JP (1) JP7794314B2 (https=)
CN (1) CN119213447A (https=)
WO (1) WO2023243020A1 (https=)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220147838A1 (en) 2020-11-09 2022-05-12 Adobe Inc. Self-supervised visual-relationship probing

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4788525B2 (ja) * 2006-08-30 2011-10-05 日本電気株式会社 物体識別パラメータ学習システム、物体識別パラメータ学習方法および物体識別パラメータ学習用プログラム
FI20185863A1 (fi) 2018-10-13 2020-04-14 Iprally Tech Oy Järjestelmä luonnollisen kielen dokumenttien hakemiseksi

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220147838A1 (en) 2020-11-09 2022-05-12 Adobe Inc. Self-supervised visual-relationship probing

Also Published As

Publication number Publication date
EP4542463A1 (en) 2025-04-23
EP4542463A4 (en) 2025-07-23
US20250029373A1 (en) 2025-01-23
JPWO2023243020A1 (https=) 2023-12-21
WO2023243020A1 (ja) 2023-12-21
CN119213447A (zh) 2024-12-27

Similar Documents

Publication Publication Date Title
Seo et al. Machine learning techniques for biomedical image segmentation: an overview of technical aspects and introduction to state‐of‐art applications
Mahapatra et al. Efficient active learning for image classification and segmentation using a sample selection and conditional generative adversarial network
US11816185B1 (en) Multi-view image analysis using neural networks
US20260105693A1 (en) High resolution text-to-3d content creation
Bozorgtabar et al. Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
Zheng et al. Marginal space learning
Han et al. A novel approach to pre-extracting support vectors based on the theory of belief functions
US20220270341A1 (en) Method and device of inputting annotation of object boundary information
JP2025156045A (ja) ポイントクラウド分類
Xiao et al. Mining consistent correspondences using co-occurrence statistics
Gopinath et al. Graph domain adaptation for alignment-invariant brain surface segmentation
Belharbi et al. Deep neural networks regularization for structured output prediction
Riaz et al. Vision based machine learning algorithms for out-of-distribution generalisation
Khoreva et al. Improved image boundaries for better video segmentation
Li et al. Weakly supervised segmentation loss based on graph cuts and superpixel algorithm
Chen et al. Unsupervised domain adaptation of dynamic extension networks based on class decision boundaries
Behzadi et al. Taming connectedness in machine-learning-based topology optimization with connectivity graphs
Machlev et al. Explaining the decisions of power quality disturbance classifiers using latent space features
JP7794314B2 (ja) 訓練プログラム，訓練方法及び情報処理装置
Yu et al. Leverage cross-attention for end-to-end open-vocabulary panoptic reconstruction
Zhang et al. RETRACTED ARTICLE: Nucleus image segmentation method based on GAN and FCN model
Li et al. SketchMLP: effectively utilize rasterized images and drawing sequences for sketch recognition
Chopin et al. Improving semantic segmentation with graph-based structural knowledge
Huang et al. Perturbed proximal descent to escape saddle points for non-convex and non-smooth objective functions
You et al. A human pose estimation algorithm based on the integration of improved convolutional neural networks and multi-level graph structure constrained model

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20241113

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20241113

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20250819

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20251017

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20251118

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20251201

R150 Certificate of patent or registration of utility model

Ref document number: 7794314

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150