related 第29页

Superpixel_Segmentation_With_Fully_Convolutional_Networks ---CVPR_2020_paper（翻译）

目录基于全卷积网络的超像素分割abstract1、introduction2.RelatedWorkSuperpixelsegmentation.Theuseofsuperpixelsindeepneuralnetworks.Stereomatching

思妙想多多财-杰·2022-12-08 10:44

基于多智能体强化学习的迭代细化的交互式三维医学图像分割

Iteratively-RefinedInteractive3DMedicalImageSegmentationwithMulti-AgentReinforcementLearningAbstract1.Introduction2.Relatedwork3

wowowoj·2022-12-08 09:56

史上最全的动态环境下SLAM论文汇总！(值得收藏)

lemaden520·2022-12-08 01:59

TransE全文中文翻译(Translating Embeddings for Modeling Multi-relational Data)

欢迎路过的网友指出翻译中的错误~TranslatingEmbeddingsforModelingMulti-relationalDataAbstract1Introduction2Translation-basedmodel3Relatedwork4Experience4.2Experimen

MilkLeong·2022-12-07 21:50

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation论文解读

TopFormer:TokenPyramidTransformerforMobileSemanticSegmentation论文解读前言0.摘要1.introduction2.relatedwork3.

Wan-yuming·2022-12-07 13:40

LeetCode[82]删除排序链表中的重复元素II

1,2,3,3,4,4,5]输出：[1,2,5]示例二：输入：head=[1,1,1,2,3]输出：[2,3]提示：链表中节点数目在范围[0,300]内-100<=Node.val<=100题目数据保证链表已经按升序排列RelatedTopics

月亮被咬碎成星星·2022-12-07 12:54

LeetCode[24]两两交换链表中的节点

=[1,2,3,4]输出：[2,1,4,3]示例二：输入：head=[]输出：[]示例三：输入：head=[1]输出：[1]提示：链表中节点的数目在范围[0,100]内0<=Node.val<=100RelatedTopics

月亮被咬碎成星星·2022-12-07 12:24

High-Resolution Image Synthesis with Latent Diffusion Models 论文重点

ContentHigh-ResolutionImageSynthesiswithLatentDiffusionModelsAbstract1.Introduction不足之处：提出问题：解决方法：DeparturetoLatentSpace（脱离并去往潜在空间）方法的优点：Contributions：RelatedWorkGenerativeModelsforImageSynthesisDiffu

铭恒悦·2022-12-07 11:52

KDD 2016 | node2vec：Scalable Feature Learning for Networks

目录前言Abstract1.IntroductionPresentwork2.RelatedWork3.FeatureLearningFramework3.1Classicsearchstrategies3.2node2vec3.2.1RandomWalks3.2.2Searchbiasα

Cyril_KI·2022-12-07 10:56

Collaborative learning network for head pose estimation【Image and Vision Computing 2022】

文章目录Abstract1.贡献（Contributions）2.相关工作（Relatedwork）多任务学习3.方法（Method）4.结果（Result）参考文献Abstract本文提出了一个用于头部姿态估计的基于

Iron_lyk·2022-12-07 09:42

Git 使用教程(十)：Git常见问题处理

Git使用教程(十)：Git常见问题处理一、gitpull时，报:fatal:refusingtomergeunrelatedhistories解决：在gitpull时，加一个参数gitpulloriginmaster

EastonLiu·2022-12-07 08:03

【论文泛读】Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation

LeveragingDistributionAlignmentviaSteinPathforCross-DomainCold-StartRecommendation-2021NeurIPS这是一篇发在NeurIPS2021会议上的文章，读到它其实是机缘巧合，在文章返修的时候，审稿人指出我们的RelatedWork

JinyuZ1996·2022-12-07 06:28

paper reading：《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks》

NIPS2015论文链接：https://arxiv.org/pdf/1506.01497.pdf.文章目录1BackgroundandMotivation2RelatedWork3Advantages

小苑同学·2022-12-07 02:13

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks论文阅读笔记2016

FasterR-CNN:TowardsReal-TimeObjectDetectionwithRegionProposalNetworks论文阅读笔记2016Abstract1.Introduction2.RelatedWork3

AndyLiu1997·2022-12-07 02:40

论文笔记：图像分割——FCN

语义分割中的全卷积网络文章目录FullyConvolutionalNetworksforSemanticSegmentation语义分割中的全卷积网络论文结构一、摘要核心二、Introduction和RelatedWork

liuzeyao_Newton·2022-12-06 15:09

Polarized 3D翻译

High-QualityDepthSensingwithPolarizationCues偏振三维:高质量的偏振线索深度感知文章目录Polarized3D阅读Abstract1.Introduction1.1.Contributions2.RelatedWork3

Antonio王·2022-12-06 13:35

[论文阅读] 颜色迁移-Correlated Color Space

yfor·2022-12-06 12:50

c#窗体应用程序编程模型_为业务应用程序选择正确的编程语言：Java，C＃，PHP...

c#窗体应用程序编程模型Programminglanguagesaredividedintothreemainclasses:thoserelatedtoabusinessplatform,thosededicatedtosystemprogrammingandthoserelatedtotheworldoftheweb.Withemergingsolutionsfornewuses

culin0274·2022-12-06 10:00

读论文：(nvdiffrec) Extracting Triangular 3D Models, Materials, and Lighting From Images

输出：trianglemeshes,texture,lighting2.RelatedWorkMulti-view3DRec

YuQiao0303·2022-12-06 10:58

矩阵的秩和图像的秩的一些了解

_weixin_30790841的博客-CSDN博客相关论文第一篇：RASL:RobustAlignmentbySparseandLow-rankDecompositionforLinearlyCorrelatedImages

ChaoFeiLi·2022-12-06 03:11

论文笔记：UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training

UC2：通用跨语言跨模态视觉和语言预训练摘要介绍2.RelatedWork3.Cross-LingualCross-ModalPre-training3.1.MachineTranslationAugmentedDataset3.2

帅帅梁·2022-12-05 21:51

论文阅读：Face-Mic: Inferring Live Speech and Speaker Identity via Subtle Facial Dynamics Captured by

Face-Mic:通过AR/VR运动传感器捕捉的细微面部动态来推断实时语音和说话人身份i.文章目录Abstract1INTRODUCTION2PRELIMINARIES2.1Speech-relatedFacialDynamics2.2CapturingFacialDynamicsviaMotionSensorsinAR

Hermione'·2022-12-05 15:19

《User Diverse Preference Modeling by Multimodal Attentive Metric Learning》论文阅读

桜空星愿·2022-12-05 11:20

TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking

目录写作动机（Movitation）：相关工作（RelatedWork）：提出的方法（Methods）：使用的技术（Techniques）：遇到的困难（Difficulties）：实验结果（Results

hithithithithit·2022-12-05 09:32

http://95u.free.fr/index.php,Electronic Software Distribution Service

Content-Type:multipart/related;start=;boundary=----------OH5LlQ9dynBJGqR8E2AiMRContent-Location:https

weixin_39632291·2022-12-05 02:38

【论文笔记】Manufacturing Control in Job Shop Environments with Reinforcement Learning

目录AbstractKeywords1INTRODUCTION2BACKGROUND2.1ProductionPlanningandControl2.2ReinforcementLearning3RELATEDWORK4EXPERIMENTALSETUPANDSOLUTIONDESIGN4.1Job-shopProblemFormalization4.2RLImplementation4.2.1S

Ctrl+Alt+L·2022-12-04 10:20

（点云补全任务）GAN逆映射：Unsupervised 3D Shape Completion through GAN Inversion

（点云补全任务）GAN逆映射：Unsupervised3DShapeCompletionthroughGANInversion简介论文abstract1.introduction2.relatedworks3

楠辰小辉·2022-12-04 10:52

(九)：Pyramid Vision Transformer

PyramidVisionTransformer:AVersatileBackboneforDensePredictionwithoutConvolutionsAbstract1.Introduction2.RelatedWork2.1

Laura_Wangzx·2022-12-04 00:46

FAST_LIO_SAM 融入后端优化的FASTLIO SLAM 系统前端：FAST_LIO2 后端：LIO_SAM

FAST_LIO_SAMFront_end:fastlio2Back_end:lio_samVideos:FAST-LIO-SAMBilibili_linkSourcecode:FAST_LIO_SAMRelatedworked1

KaHoWong·2022-12-03 23:32

matlab实现rte接口_脑机接口P300信号处理（MATLAB实现）

学号：17020150056姓名：张伟航【嵌牛导读】事件相关电位(Event-relatedpotentials,ERP)是大脑对某种事件进行信息加工时诱发产生的一系列电活动。

一般路过赤旗壬·2022-12-03 18:21

【论文精读】从单张图像进行深度估计的深度卷积神经场

从单张图像进行深度估计的深度卷积神经场PaperInformationAbstractIntroductionRelatedWorkDeepconvolutionalneuralfieldsOverviewNeuralNetworkStructureTheUnaryPartThePairwisePartTheCRFLossLayerPotentialfunctionsUnarypotentialP

暖焱·2022-12-03 08:23

Unsupervised Degradation Representation Learning for Blind Super-Resolution（基于无监督退化表示学习的盲超分辨率处理）

文章目录Abstract(摘要)1.Introduction2.RelatedWork2.1.SingleImageSuper-Resolution2.2.ContrastiveLearning（对比学习

Cloudeeeee·2022-12-03 08:47

[Transformer]Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

AbstractSectionIIntroductionSectionIIRelatedWorkSectionIIIMethodPart1OverallArchitecturePart2ShiftedWindowbasedSelf-AttentionPart3ArchitectureVariantsSectionIVEx

黄小米吖·2022-12-03 05:01

【SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation论文解读】

SegNeXt:RethinkingConvolutionalAttentionDesignforSemanticSegmentation论文解读前言0.摘要1.introduction2.relatedwork3

Wan-yuming·2022-12-03 01:25

【Segmenter: Transformer for Semantic Segmentation论文解读】

Segmenter:TransformerforSemanticSegmentation论文解读前言0.摘要1.introduction2.relatedwork3.method3.1encoder3.2decoderLinearMaskTransformerexperiment

Wan-yuming·2022-12-03 01:52

[TinyML]NetAug:Network Augmentation for Tiny Deep Learning

NetAug:NetworkAugmentationforTinyDeepLearningAbstractSectionIIntroductionSectionIIRelatedWorkKnowledgedistillationRegularizationMethodsTinyDeepLearningSectionIIINetworkAugmentationPart1FormulationPart

黄小米吖·2022-12-03 00:41

Making better mistakes -- Mistake severity issues

CVPR2020]Makingbettermistakes:LeveragingclasshierarchieswithdeepnetworksIntroductionMethodFrameworkandrelatedworkHierarchicalcross-entropy

连理o·2022-12-02 17:08

Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder 论文笔记

ReducingLanguageBiasesinVisualQuestionAnsweringwithVisually-GroundedQuestionEncoder论文笔记一、Abstract二、引言三、RelatedWorks

乄洛尘·2022-12-02 16:36

【论文阅读】CVPR 2020：GaitPart: Temporal Part-based Model for Gait Recognition

TemporalPart-basedModelforGaitRecognition目录GaitPart:TemporalPart-basedModelforGaitRecognition摘要IntroRelatedWorkProposedMethodPipelineFrame-levelPartFeatureExtractor

Dream_Poem·2022-12-02 13:55

ESIM (Enhanced LSTM for Natural Language Inference)

推理是人工智能的关键体现2、SNLI为推理模型提供数据支撑3、文中提出的模型不需要复杂的模型结构且效果较好4、融合语法树模型，效果更佳二、Introduction主要介绍数据集和推理的相关背景知识三、RelatedWork

BUPT-WT·2022-12-02 12:54

论文笔记：Enhanced LSTM for Natural Language Inference

EnhancedLSTMforNaturalLanguageInferencehttps://arxiv.org/pdf/1609.06038v3.pdfRelatedWorkEnhancingsequentialinferencemodelsbasedonchainnetworksFurther

Navajo_c·2022-12-02 12:21

硬核·论文解读(1)——YOLOR

本文目录论文介绍论文部分解读(中英对照)摘要(Abstract)原文如下：大致翻译：第一部分：Introduction原文如下：大致翻译：第二部分：Relatedwork原文如下：大致翻译：第三部分：Howimplicitknowledgeworks

赵云战江湖·2022-12-02 11:49

YOLOR论文翻译+个人理解

》论文地址：https://arxiv.org/pdf/2105.04206.pdf代码地址：https://github.com/WongKinYiu/yolor摘要1、Introduction2、Relatedwork2.1Explicitdeeplearning

゛破旧衬衫·2022-12-02 11:42

NeRV: Neural Representations for Videos

NeRV:NeuralRepresentationsforVideosAbstract1Introduction2RelatedWork3NeuralRepresentationsforVideos3.1NeRVArchitecture3.2ModelCompression4Experiments4.1DatasetsandImplementationDetails4.2MainResults4

attacking tiger·2022-12-02 11:41

DER: Dynamically Expandable Representation for Class Incremental Learning翻译

DynamicallyExpandableRepresentationforClassIncrementalLearning(CVPR,2021)DER:类增量学习的动态可扩展表示目录传送门Abstract1.Introduction2.RelatedWorkRepresentationLearningClassifierLearning

Andy_2259·2022-12-02 11:09

Hugging Face Course-Introduction学习小记 (part1)

detectingifanemailisspam,determiningifasentenceisgrammaticallycorrectorwhethertwosentencesarelogicallyrelatedo

爱睡觉的Raki·2022-12-02 01:08

文献翻译2：AOPG: Anchor-free Oriented Proposal Generator for Object Detection

Anchor-freeOrientedProposalGeneratorforObjectDetectionAOPG:Anchor-freeOrientedProposalGeneratorforObjectDetectionAbstractIntroductionRELATEDWORKHorizontalSchemeinOrientedDetectorsAnchorSche

Ethan_00·2022-12-01 22:10

文献翻译3：FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

ASimpleAnchor-freeRotatedDetectorforAerialObjectDetectionFCOSR:ASimpleAnchor-freeRotatedDetectorforAerialObjectDetectionAbstractIntroductionRelatedWorksAnchor-basemethodsAnchor-freemethods