related 第33页

【论文笔记】ParaDetox Detoxifification with Parallel Data

ParaDetox:DetoxificationwithParallelData文章目录ParaDetox:DetoxificationwithParallelDataAbstract1.Introduction2.RelatedWorkStyleTransferandDetoxification3

Feeedforward·2022-11-19 15:02

Raki的读paper小记：ALBERT: A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS

Abstract&Introduction&RelatedWork研究任务预训练语言模型已有方法和相关工作面临挑战越来越大的模型需要更多的计算资源和时间去训练创新思路因子化嵌入参数化跨层参数共享用SOP

爱睡觉的Raki·2022-11-19 13:58

论文翻译 ALBERT：A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS

ALITEBERTFORSELF-SUPERVISEDLEARNINGOFLANGUAGEREPRESENTATIONSALITEBERTFORSELF-SUPERVISEDLEARNINGOFLANGUAGEREPRESENTATIONS小型BERT(自监督学习语言表征)ABSTRACT摘要1INTRODUCTION介绍2RELATEDWORK

Shmily~_~·2022-11-19 13:26

VIT Adapter【Vision Transformer Adapter for Dense Predictions】论文笔记

VisionTransformerAdapterforDensePredictions论文地址：2205.08534.pdf(arxiv.org)代码地址：https://github.com/czczup/ViT-Adapter目录摘要IntroduceRelatedworkVisionTransformerAdapterExperimentsConclusionAppendix

yzZ_here·2022-11-19 13:03

[Transformer]Evo-ViT：Slow-Fast Token Evolution for Dynamic Vision Transformer

Evo-ViT:自激励Token的快慢进化用于动态加速VisionTransformerAbstractSectionIIntroductionSectionIIRelatedWorkSectionIIIPreliminariesSectionIVMethodologyPart1StructureperservingtokenselectionPart2Slow-fastupdatingPart3

黄小米吖·2022-11-19 13:31

【论文笔记7】CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classificatio阅读笔记

图上的光谱网路和深度局部链接网络论文阅读笔记（6）:GNN-快速局部光谱滤波论文阅读笔记（8）:图卷积半监督分类文章目录系列文章目录Abstract目标方法一、Introduction1.相关论文：2.本文特点二、RelatedWorks

梅津太郎·2022-11-19 12:22

易基因｜疾病研究：DNA甲基化与转录组分析联合揭示吸烟免疫相关疾病的表观遗传机制

ClinEpigenetics》杂志发表了题为“Genome-widemethylationandexpressionanalysesrevealtheepigeneticlandscapeofimmune-relateddiseasesfortobaccosmoking

易基因科技·2022-11-19 11:56

汉字风格迁移篇---汉字笔划提取、数据集和基准的实例分割

文章目录AbstractIntroductionRelatedWork建议的数据集算法分析Conclusion补充材料笔划检测的更多分析标准字体的更多可传输性结果更多故障案例有关先前方法的更多详细信息有关下游任务的更多详细信息字体生成手写美学评估数据集

啊菜来了·2022-11-19 08:16

汉字风格迁移篇----EasyFont：一个基于风格学习的系统，可以轻松构建大规模手写字体

文章目录abstract1INTRODUCTION2RELATEDWORK3METHODDESCRIPTION3.1SelectingInputCharacterSet3.2LearningFontSkeletonManifold3.2.1CharacterMatching

啊菜来了·2022-11-19 08:40

论文写作心得

以继续开展科研为目的 1、问题驱动 2、重视实验 3、直面复杂公式（二）读论文——以提高写作效率目的 1、论文主要架构：四、写论文相关技巧（一）Title相关技巧：（二）Abstract相关技巧：（三）RelatedWork

哈哈笑一个吧·2022-11-19 04:35

Efficient Graph Summarization using Weighted LSH at Billion-Scale

文章目录ABSTRACT1INTRODUCTION2CORRECTIONSETBASEDGRAPHSUMMARIZATION3PROPOSEDMETHOD4EXPERIMENTS5RELATEDWORK6CONCLUSIONABSTRACT

rec_mylife·2022-11-19 01:44

Interactive Graph Stream Analytics in Arkouda

文章目录Abstract&Introduction1.RelatedWork1.1GraphStreamSketch1.2CompleteGraphStreamProcessingMethod1.3TriangleCountingAlgorithm2

rec_mylife·2022-11-19 01:44

multi-relation Graph summarization

文章目录ABSTRACT1INTRODUCTION1.1BackgroundandRelatedWork1.2Multi-relationGraphSummarization1.3WhyNotKeepinganIndividualSummaryforEachRelation

rec_mylife·2022-11-19 01:26

Vision Transformer学习笔记

阿拉斯加不迷路·2022-11-17 17:23

【DropBlock】《DropBlock：A regularization method for convolutional networks》

NIPS-2018文章目录1BackgroundandMotivation2RelatedWork3Advantages/Contributions4DropBlock5Experiments5.1ImageNetClassification5.1.1DropBlockinResNet

bryant_meng·2022-11-17 09:53

Python3《机器学习实战》学习笔记（十）：ANN人工神经网络代码详解（数字识别案例以及人脸识别案例）

1.5初始化theta1.6正向传播1.7反向传播1.8梯度下降1.9训练模块二、MNIST数字识别三、人脸识别四、总结一、构建基本代码结构1.1预处理数据的工具包"""DatasetFeaturesRelatedUtils

Charliefive·2022-11-17 09:51

eBPF程序摄像头——力争解决可观测性领域未来最有价值且最有挑战的难题

但是机构可观测性的成熟度仍然面临着以下的挑战：Strugglingwiththeabilitytocorrelatedatafrommultiplesourcesinatimelyfashion(accordingto29%

·2022-11-16 23:12

[Transformer]Segtran:Medical Image Segmentation Using Squeeze-and-Expansion Transformers

SegTran：基于Squeeze-Expansion的Transformer用于医学图像分割AbstractSectionIIntroductionSectionIIRelatedWorkSectionIIISqueeze-and-ExpansionTransformerPart1SqueezedAttentionBlock

黄小米吖·2022-11-16 13:46

loam论文翻译

目录AbstractI.INTRODUCTIONII.RelatedworkIII.NotationandTaskDescription（符号和任务描述）IV.SystemOverviewA.LidarHardwareB.SoftwareSystemOverviewV.LidarOdometryA.FeaturePointExtractionB.FindingFeaturePointCorresp

每天都在努力学习SLAM的小黑·2022-11-15 22:19

Pixel-level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environment

Pixel-levelExtrinsicSelfCalibrationofHighResolutionLiDARandCamerainTargetlessEnvironmentsAbstract1.Introduction2.RelatedWorks3

每天都在努力学习SLAM的小黑·2022-11-15 22:19

基于骨骼的动作识别：PoseConv3D

RevisitingSkeleton-basedActionRecognition解读摘要1.简介2.RelatedWork2.1基于3D-CNN的rgb视频动作识别2.2基于GCN的骨骼动作识别2.3

Airs_Gao·2022-11-15 13:11

论文阅读|LVT

LVT：具有增强自注意力的Lite视觉Transformer_Amusi（CVer）的博客-CSDN博客目录AbstractIntroductionRelatedWorkVisionTransformerCNN

xiaoweiyuya·2022-11-14 13:48

文献学习01-Neural Relation Extraction for Knowledge Base Enrichment

Proceedingsofthe57thAnnualMeetingoftheAssociationforComputationalLinguistics,pages229-240.目录Abstract1、Introduction（1）LargeKB（2）先前的研究工作积累：（3）本文的贡献2、RelatedWork2.1OpenInformationExtraction2.2Entity

振哥在，世界充满爱！·2022-11-14 13:43

Deep Cosine Metric Learning for Person Re-Identification

深度余弦度量学习用于人的重新识别Abstract1.Introduction2.RelatedWork3.StandardSoftmaxClassifier4.CosineSoftmaxClassifier5

波波宝·2022-11-14 09:38

＜＜多模态预训练＞＞2022：CoCa: Contrastive Captioners are Image-Text Foundation Models

目录Abstract1、Introduction2、RelatedWork3、Approach3.1、NaturalLanguageSupervision3.2、ContrastiveCaptionersPretraining3.3

金克丝、·2022-11-14 07:52

CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

Iron_lyk·2022-11-14 07:48

AAMAS 2021 强化学习论文70篇（自整理）

WWW.IFAAMAS.ORG/PROCEEDINGS/AAMAS2021/FORMS/CONTENTS.HTMAAMAS2021MARL论文（36篇）一、非应用类（33篇）1.LearningCorrelatedCommunicationTopologyinMulti-AgentReinforcementlearningMARL

QCNH雨文·2022-11-13 14:11

Submit a Spark job to YARN from code

http://blog.sequenceiq.com/blog/2014/08/22/spark-submit-in-java/InourpreviousApacheSparkrelatedpostweshowedyouhowtowriteasimplemachinelearningjob.Inthispostwe

dufufd·2022-11-12 04:38

Learning Visual Commonsense for Robust Scene Graph Generation论文笔记

-3-030-58592-1_38.pdf目录总体结构：感知模型GLAT：融合感知和常识模型Conclusion附件：论文翻译（绝大部分机翻）AbstractIntroductionReferenceRelatedWork2.1CommonsenseinComputerVision

chinalihua·2022-11-10 10:01

Delivery～circulation efficiency

ConsuminghabitsInrelatedto……Isconduciveto……，Goodcargotransportationisrelatedtothecirculationefficiencyofenterpriseproducts

柏树维度·2022-11-10 07:28

论文超详细精读|七千字：AGC-LSTM

文章目录前言总览一、Introduction背景网络架构及重点主要贡献二、RelatedWorkNeuralnetworkswithgraph（图结构的神经网络）Skeleton-basedactionrecognition

湘粤Ian·2022-11-10 07:56

Doc ID 888828.1

InthisDocumentPurposeScopeDetailsLatestReleasesandPatchingNewsExadataPatchingOverviewandGuidelinesExadataSoftwareandHardwareMaintenancePlanningCriticalIssuesSecurity-RelatedGuidanceLatestReleasesPatch

1ihj2015·2022-11-09 19:36

深度学习论文笔记（一）Deep Residual Learning for Image Recognition

深度残差学习DeepResidualLearning相关工作RelatedWork3DeepResidualLearning3.1残差学习ResidualLear

澪mio·2022-11-09 10:34

【DIN论文精读】Deep Interest Network for Click-Through Rate Prediction

文章目录Paper摘要Abstract1.简介Introduction2.前人的相关工作RelatedWork3.系统概述SystemOverview3.1用户行为数据的特性CharacteristicofUserBehaviorData3.2

哈喽十八子·2022-11-09 04:57

【视觉SLAM】ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras

anOpen-SourceSLAMSystemforMonocularStereoandRGB-DCameras[J],2016.先读Abstract和Introduction，再看Conclusion，觉得方法新颖且与自己研究内容相关，再看RelatedWork

振华OPPO·2022-11-08 07:27

[Transformer]CvT:Introducing Convolutions to Vision Transformers

AbstractSectionIIntroductionSectionIIRelatedWorkSectionIIIConvolutionvisionTransformerPart1ConvolutionalTokenEmbeddingPart2ConvolutionProjectionforAttentionPart3EfficiencyConsider

黄小米吖·2022-11-08 07:56

【HRNet】《Deep High-Resolution Representation Learning for Human Pose Estimation》

CVPR-2019代码：https://github.com/leoxiaobin/deep-high-resolution-net.pytorch文章目录1BackgroundandMotivation2RelatedWork3Advantages

bryant_meng·2022-11-05 15:12

我的研究生论文的小总结 (以多标签方向为例)

文章目录前言主要结构回顾1.先写代码和搞伪代码2.通过伪代码,慢慢完成Theproposedapproach3.随时更新的符号系统4.完成实验部分5.完成摘要6.搞定Introduction7.搞定RelatedWork8

LTA_ALBlack·2022-11-04 11:25

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation（NeurIPS 22）

SegNeXt:RethinkingConvolutionalAttentionDesignforSemanticSegmentation摘要introduction2relatedwork2.1semanticsegmentation2.2Multi-scaleNetworks2.3AttentionMechanisms3method3.1ConvolutionalEncoder3.2decod

dear_queen·2022-11-03 18:13

YOLOF论文解析

YouOnlyLookOne-levelFeature论文地址：YOLOF论文源码地址：YOLOF-源码文章目录1.Abstract2.Introduction3.RelatedWorks3.1.Multiple-levelfeaturedetectors3.2

从现在开始壹并超·2022-11-03 08:13

Conformer论文以及代码解析（上）

Conformer:LocalFeaturesCouplingGlobalRepresentationsforVisualRecognition1.Abstract2.Introduction3.RelatedWork4

从现在开始壹并超·2022-11-03 08:13

论文超详细精读|五千字：ResGCN/DenseGCN

文章目录前言总览一、Introduction背景主要贡献二、RelatedWork目前主要应用场景目前困难与解决三、Methodology3.1RepresentationLearningonGraphs

湘粤Ian·2022-11-03 08:28

论文超详细精读|八千字：DGNN

文章目录前言总览一、Introduction背景问题解决过程主要贡献二、Relatedwork2.1Skeleton-basedactionrecognition(骨架动作识别)2.2Graphnetworks

湘粤Ian·2022-11-03 08:26

人体部位检测：DID-Net

Detector-in-Detector:Multi-LevelAnalysisforHuman-Parts解读摘要1.简介2.Relatedwork自顶而下（Top-down）的姿态估计方法3.Detector-in-DetectorNetwork3.1BodyDetector3.2PartsDetector3.3Lossfunction4

Airs_Gao·2022-11-02 20:53

YOLOv4论文阅读（附原文翻译）

YOLOv4论文阅读（附原文翻译）论文阅读论文翻译Abstract摘要1.Introduction引言2.Relatedwork相关工作2.1.Objectdetectionmodels目标检测模型2.2

虎大猫猫·2022-11-02 08:52

PSPNet-Pyramid Scene Parsing Network-金字塔场景解析网络

PSPNet-PyramidSceneParsingNetwork-金字塔场景解析网络Abstract1.Introduction2.RelatedWork3.PyramidSceneParsingNetwork3.1PyramidPoolingModule3.2NetworkArchitecture4

jiang1943·2022-11-01 11:53

论文研读2018：卷积中的注意力和keras实现。CBAM: Convolutional Block Attention Module

文章目录Abstract1Introduction2RelatedWork3ConvolutionalBlockAttentionModuleChannelattentionmodule代码Spatialattentionmodule

北丐安全·2022-10-30 17:03

论文超详细精读|五千字：STGR

文章目录前言总览一、Introduction背景主要贡献二、RelatedWorksSkeleton-basedActionRecognition.

湘粤Ian·2022-10-30 07:58

vue路由切换时报错：api.now is not a function

地址：https://chrome.google.com/webstore/detail/vuejs-devtools/nhdogjmejiglipccpnnnanhbledajbpd/related?

xiexikk·2022-10-29 08:28

人体部位检测：Hier R-CNN

HierR-CNN:Instance-LevelHumanPartsDetectionandANewBenchmark解读摘要1.简介2.RELATEDWORK2.1HumanPartsDatasets2.2Region-BasedApproach2.3Instance-LevelHumanAnalysis3

Airs_Gao·2022-10-28 07:43

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