PL3631697T3 - Sposoby i aparat do dyskryminacyjnego transferu semantycznego i inspirowanej fizyką optymalizacji cech w uczeniu głębokim - Google Patents

Sposoby i aparat do dyskryminacyjnego transferu semantycznego i inspirowanej fizyką optymalizacji cech w uczeniu głębokim

Info

Publication number
PL3631697T3
PL3631697T3 PL18805872.1T PL18805872T PL3631697T3 PL 3631697 T3 PL3631697 T3 PL 3631697T3 PL 18805872 T PL18805872 T PL 18805872T PL 3631697 T3 PL3631697 T3 PL 3631697T3
Authority
PL
Poland
Prior art keywords
physics
methods
deep learning
feature optimization
discriminative
Prior art date
Application number
PL18805872.1T
Other languages
English (en)
Inventor
Anbang YAO
Hao ZHAO
Ming Lu
Yiwen Guo
Yurong Chen
Original Assignee
Intel Corporation
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 Intel Corporation filed Critical Intel Corporation
Publication of PL3631697T3 publication Critical patent/PL3631697T3/pl

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/26Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133Distances to prototypes
    • G06F18/24143Distances to neighbourhood prototypes, e.g. restricted Coulomb energy networks [RCEN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/096Transfer learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00General purpose image data processing
    • G06T1/20Processor architectures; Processor configuration, e.g. pipelining
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/12Edge-based segmentation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing 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
    • G06V10/774Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/94Hardware or software architectures specially adapted for image or video understanding
    • G06V10/955Hardware or software architectures specially adapted for image or video understanding using specific electronic processors
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/70Labelling scene content, e.g. deriving syntactic or semantic representations
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/047Probabilistic or stochastic networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biophysics (AREA)
  • General Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Neurology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Image Processing (AREA)
  • Image Generation (AREA)
  • Image Analysis (AREA)
PL18805872.1T 2017-05-23 2018-05-22 Sposoby i aparat do dyskryminacyjnego transferu semantycznego i inspirowanej fizyką optymalizacji cech w uczeniu głębokim PL3631697T3 (pl)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201762509960P 2017-05-23 2017-05-23
US201762509990P 2017-05-23 2017-05-23
PCT/US2018/033986 WO2018217828A1 (en) 2017-05-23 2018-05-22 Methods and apparatus for discriminative semantic transfer and physics-inspired optimization of features in deep learning

Publications (1)

Publication Number Publication Date
PL3631697T3 true PL3631697T3 (pl) 2025-09-15

Family

ID=64395967

Family Applications (1)

Application Number Title Priority Date Filing Date
PL18805872.1T PL3631697T3 (pl) 2017-05-23 2018-05-22 Sposoby i aparat do dyskryminacyjnego transferu semantycznego i inspirowanej fizyką optymalizacji cech w uczeniu głębokim

Country Status (6)

Country Link
US (4) US11669718B2 (pl)
EP (2) EP4446941A3 (pl)
CN (2) CN110892424A (pl)
ES (1) ES3035808T3 (pl)
PL (1) PL3631697T3 (pl)
WO (1) WO2018217828A1 (pl)

Families Citing this family (64)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110892424A (zh) * 2017-05-23 2020-03-17 英特尔公司 用于深度学习中的特征的区分性语义转移和物理启发优化的方法和装置
US11468286B2 (en) * 2017-05-30 2022-10-11 Leica Microsystems Cms Gmbh Prediction guided sequential data learning method
DE102017215718B4 (de) * 2017-09-07 2019-06-13 Audi Ag Verfahren zum Auswerten eines optischen Erscheinungsbildes in einer Fahrzeugumgebung und Fahrzeug
US11093827B2 (en) * 2017-09-20 2021-08-17 International Business Machines Corporation Variable ISA vector-based compaction in distributed training of neural networks
CN110809784B (zh) * 2017-09-27 2021-04-20 谷歌有限责任公司 高分辨率图像分割的端到端网络模型
US10970080B2 (en) * 2018-02-08 2021-04-06 Marvell Asia Pte, Ltd. Systems and methods for programmable hardware architecture for machine learning
US10891136B1 (en) 2018-05-22 2021-01-12 Marvell Asia Pte, Ltd. Data transmission between memory and on chip memory of inference engine for machine learning via a single data gathering instruction
US10997510B1 (en) 2018-05-22 2021-05-04 Marvell Asia Pte, Ltd. Architecture to support tanh and sigmoid operations for inference acceleration in machine learning
US10929760B1 (en) 2018-05-22 2021-02-23 Marvell Asia Pte, Ltd. Architecture for table-based mathematical operations for inference acceleration in machine learning
US10929779B1 (en) 2018-05-22 2021-02-23 Marvell Asia Pte, Ltd. Architecture to support synchronization between core and inference engine for machine learning
US11016801B1 (en) 2018-05-22 2021-05-25 Marvell Asia Pte, Ltd. Architecture to support color scheme-based synchronization for machine learning
US10929778B1 (en) 2018-05-22 2021-02-23 Marvell Asia Pte, Ltd. Address interleaving for machine learning
CN110660037B (zh) * 2018-06-29 2023-02-10 京东方科技集团股份有限公司 图像间脸部交换的方法、装置、系统和计算机程序产品
CN110889851B (zh) * 2018-09-11 2023-08-01 苹果公司 针对深度和视差估计的语义分割的稳健用途
KR102805668B1 (ko) * 2018-10-17 2025-05-13 삼성전자주식회사 모듈화된 신경망의 데이터 처리를 제어하는 전자 장치 및 그 제어 방법
US10929665B2 (en) 2018-12-21 2021-02-23 Samsung Electronics Co., Ltd. System and method for providing dominant scene classification by semantic segmentation
CN109711413B (zh) * 2018-12-30 2023-04-07 陕西师范大学 基于深度学习的图像语义分割方法
US20200242771A1 (en) * 2019-01-25 2020-07-30 Nvidia Corporation Semantic image synthesis for generating substantially photorealistic images using neural networks
CN109903303A (zh) * 2019-02-25 2019-06-18 秦皇岛燕大滨沅科技发展有限公司 一种基于卷积神经网络的船舶吃水线提取方法
CN109948804B (zh) * 2019-03-15 2021-11-02 北京清瞳时代科技有限公司 跨平台拖拽式深度学习建模与训练方法及装置
US11170569B2 (en) * 2019-03-18 2021-11-09 Geomagical Labs, Inc. System and method for virtual modeling of indoor scenes from imagery
US11593661B2 (en) * 2019-04-19 2023-02-28 Nvidia Corporation Few-shot training of a neural network
WO2020215236A1 (zh) * 2019-04-24 2020-10-29 哈尔滨工业大学(深圳) 图像语义分割方法和系统
CN110222636B (zh) * 2019-05-31 2023-04-07 中国民航大学 基于背景抑制的行人属性识别方法
CN111401115B (zh) * 2019-08-01 2024-02-27 江苏农林职业技术学院 一种基于fpga的草莓病虫害高光谱数据的处理方法与装置
US12175162B2 (en) * 2019-09-10 2024-12-24 Apple Inc. Object relationship estimation from a 3D semantic mesh
CN110689114B (zh) * 2019-09-24 2023-07-18 Oppo广东移动通信有限公司 网络节点处理方法、装置、存储介质及电子设备
CN111881705B (zh) * 2019-09-29 2023-12-12 深圳数字生命研究院 数据处理、训练、识别方法、装置和存储介质
US11804050B1 (en) * 2019-10-31 2023-10-31 Nvidia Corporation Processor and system to train machine learning models based on comparing accuracy of model parameters
US11709121B2 (en) * 2019-11-18 2023-07-25 Spraying Systems Co. Machine learning-based particle-laden flow field characterization
US10699715B1 (en) * 2019-12-27 2020-06-30 Alphonso Inc. Text independent speaker-verification on a media operating system using deep learning on raw waveforms
US11450008B1 (en) * 2020-02-27 2022-09-20 Amazon Technologies, Inc. Segmentation using attention-weighted loss and discriminative feature learning
US11620475B2 (en) 2020-03-25 2023-04-04 Ford Global Technologies, Llc Domain translation network for performing image translation
US11798270B2 (en) * 2020-04-27 2023-10-24 Molecular Devices, Llc Systems and methods for image classification
CN111709952B (zh) * 2020-05-21 2023-04-18 无锡太湖学院 一种基于边缘特征优化的双流解码卷积神经网络的mri脑肿瘤自动分割方法
EP3965052B1 (en) * 2020-09-04 2023-08-16 Robert Bosch GmbH Device and method of training a generative neural network
CN112242200A (zh) * 2020-09-30 2021-01-19 吾征智能技术(北京)有限公司 一种基于流行性感冒智能认知模型的系统及设备
CN112631947B (zh) * 2021-01-15 2023-04-25 抖音视界有限公司 应用程序的测试控制方法、装置、电子设备及存储介质
CN112784909B (zh) * 2021-01-28 2021-09-28 哈尔滨工业大学 基于自注意力机制和自适应子网络的图像分类识别方法
CN112785643B (zh) * 2021-02-02 2025-06-13 武汉科技大学 一种基于机器人平台的室内墙角二维语义地图构建方法
JP7739009B2 (ja) * 2021-02-25 2025-09-16 キヤノン株式会社 システム、システムの制御方法、プログラム
CN113033079B (zh) * 2021-03-08 2023-07-18 重庆优易特智能科技有限公司 一种基于不平衡修正卷积神经网络的化学故障诊断方法
CN115049534B (zh) * 2021-03-09 2024-10-18 上海交通大学 基于知识蒸馏的鱼眼图像实时语义分割方法
CN113096692B (zh) * 2021-03-19 2024-05-28 招商银行股份有限公司 语音检测方法及装置、设备、存储介质
CN112966691B (zh) * 2021-04-14 2022-09-16 重庆邮电大学 基于语义分割的多尺度文本检测方法、装置及电子设备
CN113504975A (zh) * 2021-05-17 2021-10-15 华南理工大学 面向在线语义分割机器视觉检测的多任务协同调度方法
CN113762325A (zh) * 2021-05-26 2021-12-07 江苏师范大学 基于ResNet-SVM算法的蔬菜识别方法
CN113434722B (zh) * 2021-06-30 2023-04-07 北京市商汤科技开发有限公司 图像分类方法、装置、设备及计算机可读存储介质
CN113673539B (zh) * 2021-08-19 2023-06-20 广西科技大学 一种基于深度学习模型的逐级交互式轮廓识别方法
CN113838166B (zh) * 2021-09-22 2023-08-29 网易(杭州)网络有限公司 图像特征迁移方法、装置、存储介质及终端设备
US12501225B2 (en) 2022-01-02 2025-12-16 Poltorak Technologies Llc Bluetooth enabled intercom with hearing aid functionality
US12505618B2 (en) * 2022-02-02 2025-12-23 Tencent America LLC Manhattan layout estimation using geometric and semantic information
CN114169255B (zh) * 2022-02-11 2022-05-13 阿里巴巴达摩院(杭州)科技有限公司 图像生成系统以及方法
JP7540671B2 (ja) * 2022-04-28 2024-08-27 株式会社スペースリー 三次元モデル生成装置及び三次元モデル生成プログラム
CN114913328B (zh) * 2022-05-18 2024-07-26 大连理工大学 一种基于贝叶斯深度多任务学习的语义分割与深度预测方法
WO2023240584A1 (zh) * 2022-06-17 2023-12-21 之江实验室 一种跨媒体知识语义表达方法和装置
CN115239808B (zh) * 2022-06-30 2025-08-12 华南理工大学 基于联合图分割的自监督目标定位方法、系统、设备及介质
US12541923B2 (en) * 2022-12-05 2026-02-03 Google Llc Digital twin management and interaction
CN115964164A (zh) 2022-12-07 2023-04-14 阿里巴巴(中国)有限公司 计算机实现的方法、硬件加速器以及存储介质
CN116843893A (zh) * 2023-03-30 2023-10-03 北京工商大学 一种基于注意力机制多尺度卷积神经网络的三维图像分割方法及系统
CN116109753B (zh) * 2023-04-12 2023-06-23 深圳原世界科技有限公司 三维云渲染引擎装置及数据处理方法
CN117391187B (zh) * 2023-10-27 2024-06-25 广州恒沙数字科技有限公司 基于动态层次化掩码的神经网络有损传输优化方法及系统
CN117237559B (zh) * 2023-11-10 2024-02-27 陕西天润科技股份有限公司 面向数字孪生城市的三维模型数据智能分析方法及系统
CN120744856B (zh) * 2025-09-05 2025-11-18 浙江大学城乡规划设计研究院有限公司 一种面向城市测度的空地一体大数据融合方法

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6711278B1 (en) * 1998-09-10 2004-03-23 Microsoft Corporation Tracking semantic objects in vector image sequences
CN1323370C (zh) * 2004-05-28 2007-06-27 中国科学院计算技术研究所 一种色情图像检测方法
US7912288B2 (en) 2006-09-21 2011-03-22 Microsoft Corporation Object detection and recognition system
US7756338B2 (en) * 2007-02-14 2010-07-13 Mitsubishi Electric Research Laboratories, Inc. Method for detecting scene boundaries in genre independent videos
CN101447076B (zh) * 2008-12-02 2010-09-22 浙江大学 一种web图像中感兴趣区域的分割方法
CN101996401B (zh) * 2009-08-24 2016-05-11 三星电子株式会社 基于强度图像和深度图像的目标分析方法及设备
CN102201052B (zh) * 2010-03-26 2015-08-19 新奥特(北京)视频技术有限公司 一种篮球广播视频中场地检测的方法
WO2014205231A1 (en) 2013-06-19 2014-12-24 The Regents Of The University Of Michigan Deep learning framework for generic object detection
US10289962B2 (en) * 2014-06-06 2019-05-14 Google Llc Training distilled machine learning models
US9633282B2 (en) * 2015-07-30 2017-04-25 Xerox Corporation Cross-trained convolutional neural networks using multimodal images
US9965705B2 (en) * 2015-11-03 2018-05-08 Baidu Usa Llc Systems and methods for attention-based configurable convolutional neural networks (ABC-CNN) for visual question answering
CN106022353B (zh) * 2016-05-05 2019-07-30 浙江大学 一种基于超像素分割的图像语义标注方法
CN110892424A (zh) * 2017-05-23 2020-03-17 英特尔公司 用于深度学习中的特征的区分性语义转移和物理启发优化的方法和装置
US10540757B1 (en) * 2018-03-12 2020-01-21 Amazon Technologies, Inc. Method and system for generating combined images utilizing image processing of multiple images

Also Published As

Publication number Publication date
CN110892424A (zh) 2020-03-17
US20240370716A1 (en) 2024-11-07
EP3631697A4 (en) 2021-02-24
ES3035808T3 (en) 2025-09-09
US20200082198A1 (en) 2020-03-12
CN119068189A (zh) 2024-12-03
EP4446941A2 (en) 2024-10-16
EP3631697B1 (en) 2025-04-30
US20240176998A1 (en) 2024-05-30
US20230359873A1 (en) 2023-11-09
US12079713B2 (en) 2024-09-03
WO2018217828A1 (en) 2018-11-29
EP4446941A3 (en) 2024-12-25
EP3631697A1 (en) 2020-04-08
US11669718B2 (en) 2023-06-06

Similar Documents

Publication Publication Date Title
PL3631697T3 (pl) Sposoby i aparat do dyskryminacyjnego transferu semantycznego i inspirowanej fizyką optymalizacji cech w uczeniu głębokim
EP3687222A4 (en) PROCESS AND DEVICE FOR TRANSMISSION OF INFORMATION
EP3691164A4 (en) PROCESS AND DEVICE FOR TRANSMISSION OF INFORMATION
EP3634060A4 (en) PROCESS AND DEVICE FOR TRANSMISSION OF INFORMATION
EP3595226A4 (en) PROCESS AND DEVICE FOR TRANSMISSION OF INFORMATION
EP3576452A4 (en) PROCESS AND APPARATUS FOR TRANSMISSION OF INFORMATION
EP3699870A4 (en) DEVICE AND PROCESS FOR PROCESSING INFORMATION
EP3694110A4 (en) DEVICE AND PROCESS FOR PROCESSING INFORMATION
EP3690824A4 (en) DEVICE AND PROCESS FOR PROCESSING INFORMATION
PL3520052T3 (pl) Sposób i urządzenie do przetwarzania danych łańcucha bloków
EP3654293A4 (en) DEVICE AND PROCESS FOR PROCESSING INFORMATION
EP3609106A4 (en) DATA TRANSMISSION PROCESSING PROCESS AND APPARATUS
EP3668253A4 (en) DATA TRANSMISSION PROCESS AND DEVICE
EP3654716A4 (en) INFORMATION TRANSMISSION METHOD AND DEVICE
EP3657850A4 (en) DATA TRANSMISSION PROCESS AND APPARATUS
EP3664550A4 (en) DATA TRANSMISSION PROCESS AND DEVICE
EP3691276A4 (en) DEVICE AND PROCESS FOR PROCESSING INFORMATION
EP3654573A4 (en) PROCESS AND APPARATUS FOR TRANSMISSION OF INFORMATION
EP3690823A4 (en) DEVICE AND PROCESS FOR PROCESSING INFORMATION
EP3544261A4 (en) DATA TRANSMISSION METHOD AND DEVICE
EP3703298A4 (en) INFORMATION TRANSMISSION PROCESS AND DEVICE
EP3576445A4 (en) DATA TRANSMISSION PROCESS AND APPARATUS
EP3687245A4 (en) PROCESS AND DEVICE FOR TRANSMISSION OF INFORMATION
EP3654694A4 (en) DATA TRANSMISSION METHOD AND APPARATUS
EP3664531A4 (en) DATA TRANSMISSION PROCESS AND DEVICE