related 第30页

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

Ethan_00·2022-12-01 22:10

文献翻译1：Oriented R-CNN for Object Detection

文献翻译1：OrientedR-CNNforObjectDetectionOrientedR-CNNforObjectDetectionAbstractIntroductionRelatedWorkOrientedRCNNOrientedRPNMidpointOffsetRepresentationLossFunctionOrientedRCNNheadRotatedRoIAlignImplent

Ethan_00·2022-12-01 22:39

H2RBox:HORIZONTAL BOX ANNOTATION IS ALL YOU NEED FOR ORIENTED OBJECT DETECTION（读论文）

HORIZONTALBOXANNOTATIONISALLYOUNEEDFORORIENTEDOBJECTDETECTION文章目录H2RBOX:HORIZONTALBOXANNOTATIONISALLYOUNEEDFORORIENTEDOBJECTDETECTIONabstractintrorelatedworkproposedmethodexperimentablationstud

光明-LFTG·2022-12-01 22:08

【论文翻译】【2007.10985】PointContrast： Unsupervised Pre-training for 3D Point Cloud Understanding

文章目录Abstract1Introduction2Relatedwork3PointContrastPre-training3.1PilotStudy:isPre-trainingonShapeNetUseful

I"ll carry you·2022-12-01 20:56

论文阅读|Lightweight OpenPose

1811.12004.pdf(arxiv.org)目录Real-time2DMulti-PersonPoseEstimationonCPU:LightweightOpenPoseAbstractIntroductionRelatedWorkAnalysisofthe

xiaoweiyuya·2022-12-01 19:19

文献学习(part103)--Inductive Representation Learning on Large Graphs

学习笔记，仅供参考，有错必纠未完待续…文章目录InductiveRepresentationLearningonLargeGraphsAbstractIntroductionRelatedworkProposedmethod

GoatGui·2022-12-01 19:20

目标分割(八)Large Kernel Matters---GCN讲解

目标分割GCN讲解ABSTRACT1.INTRODUCTION2.RelatedWork3.GlobalConvolutionalNetworkReference原文：GCN收录：CVPR2017(IEEEConferenceonComputerVisionandPatternRecognition

Raywit·2022-12-01 18:46

基于RGB图像的机器人抓取算法汇总

1、OptimizingCorrelatedGraspabilityScoreandGraspRegressionforBetterGraspPrediction本文提出了一种新的深度卷积网络结构，该结构通过引入新的丢失量

Tom Hardy·2022-12-01 10:00

关系分类论文解读笔记-2

项目地址目录ACL2020论文：ANovelCascadeBinaryTaggingFrameworkforRelationalTripleExtractionAbstract1Introduction2Relatedwork3TheCAS

巴拉巴拉888·2022-12-01 04:47

WSDM 21-Temporal Cross-Effects in Knowledge Tracing

TemporalCross-EffectsinKnowledgeTracing主要内容TemporalCross-EffectsinKnowledgeTracingAbstract1Introduction2RelatedWork2.1KnowledgeTracing2.2TemporalDynamicsinKnowledgeTracing2.3HawkesProcess3EmpiricalStu

Highlight_Jin·2022-12-01 02:34

Deep Knowledge Tracing

主要内容第一部分论文内容介绍Abstract1Introduction2RelatedWork2.1贝叶斯知识追踪2.2其他动态概率模型2.3循环神经网络3DeepKnowledgeTracing3.2

Highlight_Jin·2022-12-01 02:34

Structure-based Knowledge Tracing: An Influence Propagation View

AnInfluencePropagationView主要内容Structure-basedKnowledgeTracing:AnInfluencePropagationViewAbstract1Introduction2RelatedworkA

Highlight_Jin·2022-12-01 02:04

＜＜视觉问答NeurIPS＞＞2021：Multimodal Few-Shot Learning with Frozen Language Models

金克丝、·2022-11-30 19:44

脉冲神经网络（SNN）论文阅读（一）-----Going Deeper With Directly-Trained Larger Spiking Neural Networks

/123591425GoingDeeperWithDirectly-TrainedLargerSpikingNeuralNetworks说明相关信息主要贡献启发AbstractIntroductionRelatedWorkSNN

lan人啊·2022-11-30 18:34

人体捕捉：《SMPL-X》

andBodyfromaSingleImage》作者：GeorgiosPavlakos主页：https://smpl-x.is.tue.mpg.de/时间：2019.04文章目录0Abstract1Introduction2Relatedwork2.1Modelingthebody2.2Inferringthebody3Tec

Godswisdom·2022-11-30 12:10

cycle_gan 连接出错

ConnectionRefusedError:[Errno111]Connectionrefusedhttps://blog.csdn.net/seamanj/article/details/102467626Thisproblemisrelatedtovisdom.Youcanstartthevisdomvisualizatoinserverbyrunningpython-mvisdom.ser

elkluh·2022-11-30 10:19

A survey on semi-supervised learning

提示：文章写完后，目录可以自动生成，如何生成可参考右边的帮助文档文章目录摘要结论IntroductionBackgroundRelatedareas期刊：MachineLearning（wos2区，中科院

姚同·2022-11-30 10:41

论文学习：Attentional Feature Fusion

提示：写完文章后，目录可以自动生成，如何生成可参考右边的帮助文档文章目录AttentionalFeatureFusionAbstract1.Introduction2.RelatedWork2.1.Multi-scaleAttentionMechanism2.2

ZZE15832206526·2022-11-30 06:41

论文翻译：Attentional Feature Fusion

AttentionalFeatureFusion摘要1引言2RelatedWork3.Multi-scaleChannelAttention(多尺度通道的关注)4.注意力特征融合AttentionalFeatureFusion5

Sun_ZD·2022-11-30 06:09

【论文笔记1_超分辨】（RDN）Residual Dense Network for Image Super-Resolution

文章目录Abstract1.Introduction1.1部分现有方法：1.2存在的问题：1.3解决方法1.4主要贡献2.RelatedWork2.1插值LR作为输入的网络2.2直接将LR作为输入的网络

HaoTianYan·2022-11-29 16:23

Learning-Deep-Learning（学习深度学习）

：coderpaiLearningDeepLearning（学习深度学习）TherearelotsofawesomereadinglistsorpoststhatsummarizedmaterialsrelatedtoDeepLearning.SowhywouldIcommitanotherone

coderpai·2022-11-29 13:34

[Transformer]Transformer-Unet: Raw Image Processing with Unet

Transformer-Unet:RawImageProcessingwithUnetAbstractSectionIIntroductionSectionIIRelatedWorkSectionIIIMethodSectionIVImplementationSectionV

黄小米吖·2022-11-29 11:01

基于SwinTransformer+UNet的遥感图像语义分割

目录摘要1.Introduction2.RelatedWork2.1.基于CNN的RS语义分割2.2.自注意力机制2.3.ViT3.方法3.1.网络结构3.2.SwinTransformerblock3.3

tzc_fly·2022-11-29 11:25

跟我读论文系列之CatBoost

文章目录理论TITLE标题AUTHOR作者ABSTRACT摘要INTRODUCTION介绍BACKGROUND背景CATEGORICALFEATURES离散特征RelatedworkoncategoricalfeaturesTargetstatistics

好饭不怕晚_·2022-11-29 10:46

详细解读浅表人脸学习-Semi-Siamese Training for Shallow Face Learning

文章目录文章简介IntroductionRelatedWorkExistingProblemPaperWorkTrainingDiagramMethodAnalysisExperimentAblationstudyAndPerformenceOtherPerformence

ThunderF·2022-11-29 08:15

Focal Self-attention for Local-Global Interactions in Vision Transformers ( DeiT )

MEthod2.1Modelarchitecture2.2Focalself-attention2.2.1Window-wiseattention2.2.2Complexityanalysis2.3Modelconﬁguration3.Relatedwork4

CV小Rookie·2022-11-29 07:26

Fully-Convolutional Siamese Networks for Object Tracking 论文学习

TranslationAbstractIntroductionDeepsimilarityfortrackingFully-convolutionalSiamesearchitectureTrainingwithlargesearchimagesImageNetVideofortrackingPracticalconsiderationsRelatedworkExperiments

亚里·2022-11-29 06:30

vs2015编写python怎么使用rando_行人重识别相关资源汇总列表

AwesomePersonRe-identification(PersonReID)Thisisarepositoryfororganizingarticlesrelatedtopersonre-identification.Mostpapersarelinkedtothepdfaddressprovidedby"arXiv"or"Openaccess

weixin_39850920·2022-11-29 02:37

Open-Vocabulary Object Detection Using Captions(2021 CVPR)----论文解读

3.RelatedWorkZSDWSDObjectdetectionusin

落了一地秋·2022-11-28 20:44

NeRF-SR: High-Quality Neural Radiance Fields using Super-Sampling论文翻译

使用超采样的高质量神经辐射场目录使用超采样的高质量神经辐射场Abstract1.Introduction2、RelatedWork3、Background（Nerf介绍）4、ApproachTrainingTesting5

ysh9888·2022-11-28 19:23

深度学习(20):nerf论文翻译与学习

目录1Introduction2RelatedWork3NeuralRadianceFieldSceneRepresentation4VolumeRenderingwithRadianceFields5OptimizingaNeuralRadianceField5.1Positionalencoding5.2Hierarchicalvolumesampling5.3Implementationde

biter0088·2022-11-28 19:16

Golang 编译命令行

1.Golang编译命令行1.1.goget“goget”commandisthestandardwayofdownloadingandinstallingpackagesandrelateddependencies

云满笔记·2022-11-28 18:20

点云生成：Diffusion Probabilistic Models for 3D Point Cloud Generation

点云生成：DiffusionProbabilisticModelsfor3DPointCloudGeneration简介论文abstract1.instruction2.Relatedworks3.DiffusionProbabilisticModelsforPointClouds3.1

楠辰小辉·2022-11-28 09:49

Vision In Transformer——（VIT论文阅读）

AnImageInWorth16×16Words:TransformersForImageRecognitionAtScale1.摘要（Abstract）2.介绍（Introduction）3.相关工作（RelatedWork

scl52tg·2022-11-28 07:45

ACL2022赶会必备，拿来即用之Abstract和Related Work

每天给你送来NLP技术干货！©作者｜刘沛羽机构｜中国人民大学高瓴人工智能学院研究方向｜自然语言处理，模型压缩来自|RUCAIBox导读：ACL是计算语言学和自然语言处理领域顶级国际会议，本文从ACL2021年发表的主会长文中整理出来了其中涉及的27个子领域的100篇论文。本次整理主要有以下几个特点：一句话概括研究背景和要解决的问题。摘要中通常会用一句话概括研究背景和问题，对于新手来说，借此机会方便

zenRRan·2022-11-28 07:15

目标检测——day55 Feature Split–Merge–Enhancement Network for Remote Sensing Object Detection

FeatureSplit–Merge–EnhancementNetworkforRemoteSensingObjectDetectionI.INTRODUCTIONII.RELATEDWORKIII.METHODA.FSMModuleB.OERModuleC.OSEStrategyIV.EXPERIMENTSRemoteSensingObjectDetection

qq_43537420·2022-11-28 05:18

如何读论文（李沐）

identitymappingdeepresiduallearningframework2.Relatedwork残差连接，如何处理输入和输出是不同的情况？如何适应更深的网络？

阿尼亚要好好读书呀·2022-11-28 04:56

会话/序列推荐：Caser、SASRec、BERT4Rec [Session based / Sequential Recommendation]

目录Caser3模型3.1嵌入层3.2卷积层3.3全连接层3.4训练3.6与一些模型的关系SASRec2RELATEDWORK3METHODOLOGY3.1嵌入层3.2自注意力block3.3堆叠自注意力层

Dive_·2022-11-27 21:07

目标检测平衡训练：Libra R-CNN: Towards Balanced Learning for Object Detection 论文翻译解读

TowardsBalancedLearningforObjectDetectionAbstractIntroductionSamplelevelimbalanceFeaturelevelimbalanceObjectivelevelimbalanceRelatedworkSamplelevelimbalanceFeaturelevelimbalanceObjectivelev

today__present·2022-11-27 19:38

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