related 第31页

【Focal Loss】《Focal Loss for Dense Object Detection》

FocalLossICCV2017现场演讲（Tsung-YiLin）文章目录1BackgroundandMotivation2Advantages/Contributions/Innovations3RelatedWork4Method4.1FocalLossDefinition4.2RetinaNetDetector5Experiments5.1Datas

bryant_meng·2022-11-25 11:27

2022-11-19 | 对西南亚地方山羊的基因组分析揭示了与沙漠气候有关的古代适应性渗入的证据

●英文题目《GenomicanalysisofindigenousgoatsinSouthwestAsiarevealsevidenceofancientadaptiveintrogressionrelatedtodesertclimate

千万别加香菜·2022-11-25 09:40

MECC：一种基于深度强化学习的移动边缘协作缓存框架

MECC:AMobileEdgeCollaborativeCachingFrameworkEmpoweredbyDeepReinforcementLearning文章目录摘要RelatedworksUser-behavior-awarecontentcachingCollaborativeedgecachingMobileedgecollaborativecachIngframeworkFL-ba

sc0024·2022-11-25 09:15

[CenterNet]Objects as Points笔记

ObjectsasPointspaper:https://arxiv.org/pdf/1904.07850.pdfcode文章目录1.Motivation2.Differences3.RelatedWork3.1CornerNet3.2HourglassNetwork4

Ah丶Weii·2022-11-25 08:48

Block-NeRF: Scalable Large Scene Neural View Synthesis 可扩展的大场景神经视图合成

目录Block-NeRF:ScalableLargeSceneNeuralViewSynthesis可扩展的大场景神经视图合成Abstract1.Introduction2.RelatedWork2.1

ysh9888·2022-11-25 07:35

Mip-NeRF翻译

目录Mip-NeRF:AMultiscaleRepresentationforAnti-AliasingNeuralRadianceFields摘要1.Introduction2、RelatedWorkAnti-aliasinginRenderingSceneRepresentationsforViewSynthesis3

ysh9888·2022-11-25 07:04

ESRGAN: Enhanced 增强的Super-Resolution Generative Adversarial Networks

目录Abstract.1Introduction2RelatedWork3ProposedMethods3.1NetworkArchitecture3.2RelativisticDiscriminator3.3PerceptualLoss3.4NetworkInterpolation4Experiments4.1TrainingDetails4.2Data4.3QualitativeResults

ysh9888·2022-11-25 04:39

Exploring Simple Siamese Representation Learning[arxiv Submitted on 20 Nov 2020]------论文解读

ExploringSimpleSiameseRepresentationLearning[arxivSubmittedon20Nov2020]------论文解读注意AbstractIntroductionandRelatedWorkSiamesenetworksContrastivelearningClusteringBYOLMethodBaselinesettingsExperimentals

落了一地秋·2022-11-25 00:40

论文学习-SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

目录一、SegFormer:SimpleandEfficientDesignforSemanticSegmentationwithTransformersAbstract1Introduction2RelatedWork3Method3.1

ZZE15832206526·2022-11-25 00:59

【超越Swin、ConvNeXt】最新注意力Neighborhood Attention Transformer (NAT)全文翻译

2204.07143code：https://github.com/SHI-Labs/Neighborhood-Attention-Transformer目录Abstract1.Introduction2.Relatedworks2.1

刘可乐呀·2022-11-25 00:57

深度学习论文阅读目标检测篇（三）：Faster R-CNN《 Towards Real-Time Object Detection with Region Proposal Networks》

）：FasterR-CNN《TowardsReal-TimeObjectDetectionwithRegionProposalNetworks》Abstract摘要1.Introduction引言2.RELATEDWORK

Jasper0420·2022-11-24 23:57

[Transformer]MViTv1:Multiscale Vision Transformers

AbstractSectionIIntroductionSectionIIRelatedWorkSectionIIIMultiscaleVisionTransformerPart1MultiHeadPoolingAttentionPart2Multi-scaleTransformerNetworksPart3

黄小米吖·2022-11-24 21:26

[Transformer]MViTv2:Improved Multiscale Vision Transformers for Classification and Detection

MViT:优化的多尺度Transformer用于分类和检测AbstractSectionIIntroductionSectionIIRelatedWorkSectionIIIRevistingMulitScaleVisionTransformerSectionIVImprovedMViTPart1ImprovedPoolingAttentionPart2MViTforObjectDetection

黄小米吖·2022-11-24 21:55

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better 图像去模糊

目录Abstract1.Introduction2.Relatedwork2.1.ImageDeblurring2.2.Generativeadversarialnetworks3.DeblurGAN-v2Architecture3.1

CV小Rookie·2022-11-24 21:53

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

用于恶劣天气条件下目标检测的图像自适应YOLO目录AbstractIntroductionRelatedWorkObjectDetectionImageAdaptationObjectDetectioninAdverseConditionsProposedMethodDIPModuleCNN-PPModuleDetectionNetworkModuleHybridDataTrainingConcl

CV小Rookie·2022-11-24 21:53

Distractor-aware Siamese Networks for Visual Object Tracking 论文学习

DistractorawareofSiameseNetworksforvisualobjecttracking论文学习论文阅读总结TranslationAbstract1Introduction1.1Contributions2RelatedWork3Distractor-awareSiameseNetworks3.1FeaturesandDrawbacksinTraditionalSiamese

亚里·2022-11-24 20:25

BERT 文章翻译

Pre-trainingofDeepBidirectionalTransformersforLanguageUnderstanding文章目录BERT:Pre-trainingofDeepBidirectionalTransformersforLanguageUnderstandingAbstract1.Introduction2RelatedWork2.1UnsupervisedFea

ZhangTuTu丶·2022-11-24 13:59

AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE——ViT全文翻译

一文读懂ViT：ViT快速理解VisioninTransformer文章目录全文翻译-VisioninTransformer-相关说明基本信息介绍ABSTRACT1INTRODUCTION2RELATEDWORK3METHOD3.1VISIONTRANSFORMER

陈嘿萌·2022-11-24 10:42

[Transformer]MAE:Masked Autoencoders Are Scalable Vision Learners

AbstractSectionIIntroductionSectionIIRelatedWorkSectionIIIMethodSectionIVImageNetExperimentsPart1MainPrepertiesPart2ComparisonResultsSectionVTransferLearningSectionVIDiscussionandConclus

黄小米吖·2022-11-24 10:36

GoogleNet 论文精读&&代码逐行解析

文章目录前言一、GoogleNet论文精读1.Introduction：2.RelatedWork：3.MotivationandHighlevelConsiderations：（Inception模块思想的来源

湘粤Ian·2022-11-24 10:30

[Transformer]Deformable DETR: deformable transformers for end-to-end object detection

DeformableDETR:可变Transformer用于端到端的目标检测AbstractSectionIIntroductionSectionIIRelatedWorkSectionIIIRevistingTransformersandDETRPart1Multi-HeadAttentioninTransformersPart2DETRSectionIVMethodPart1Deformabl

黄小米吖·2022-11-24 09:52

论文阅读|Lite Pose

LitePose:EfficientArchitectureDesignfor2DHumanPoseEstimation目录AbstractIntroductionRelatedWork2DHumanPoseEstimationModelAccelerationNeuralArchitectureSearchRethinkingtheEfficientDesignSpace3.1

xiaoweiyuya·2022-11-24 09:18

knowledge distillation论文阅读之：Learning Student Networks via Feature Embedding

文章目录ABSTRACTINTRODUCTIONRELATEDWORKNetworkTrimmingLayerDecompositionKnowledgeDistillationSTUDENTNETWORKEMBEDDINGTeacher-studentInteractionsLocalityPreservingLossABSTRACT

暖仔会飞·2022-11-24 09:45

Unsupervised Text Segmentation Using Semantic Relatedness Graphs阅读笔记

目录*非论文目录*话题分割的作用话题分割的两类任务话题分割的常见方法本文算法获取句子的语义相似度基于图的分割具体实验方法两个弱结论链接话题分割的作用将文章分割成具有语义相关性的片段，能够增强文章的可读性同时也促进了文本摘要（(Anghelutaetal.,2002;Diasetal.,2007）、文章检索(Huangetal.,2003;Diasetal.,2007)、文本索引(textindex

Muasci·2022-11-24 08:18

Ghost Net: 如何从轻量的计算中提取更多的特征？

Abstract:1.Introduction:2.RelatedWork:2.1ModelCompress

Super__Tiger·2022-11-24 07:14

姿态估计之3D 人体姿态估计 - A curated list of related resources for 3d human reconstruction.【转】

转自【GitHub-Hi-MrChen/3d-human-reconstruction】Acuratedlistofrelatedresourcesfor3dhumanreconstruction.Contentspapersrelatedpapersparametricmodeldatasetlabsotherrelatedawesomesurvey3dhumannerforpifu

light169·2022-11-24 06:09

ICML2018(Anomaly Detection)：Deep SVDD-论文解读《Deep One-Class Classification》

文章目录原文地址论文阅读方法初识相知2.RelatedWork3.DeepSVDD4.Experiments回顾代码原文地址http://data.bit.uni-bonn.de/publications

我是大黄同学呀·2022-11-24 05:36

Pycharm出现报错，最全报错与解决方法，后悔没早知道

（一）Pycharm报错：NoRinterpreterdefinedNoRinterpreterdefined:ManyRrelatedfeatureslikecompletion

土豆编程·2022-11-24 00:00

[Transformer]DN-DETR:Accelerate DETR Training by Introducing Query DeNoising

AbstractSectionIIntroductionSectionIIRelatedWorkSectionIIIWhydenoisingaccelaretesDETRtraining?

黄小米吖·2022-11-23 23:13

Global Sensing and Measurements Reuse for Image Compressed Sensing

GlobalSensingandMeasurementsReuseforImageCompressedSensing文章目录GlobalSensingandMeasurementsReuseforImageCompressedSensingAbstractIntroductionRelatedworkTraditionalCompressedSensingDeepCompressedSensing

皮神ӧ◡ӧ·2022-11-23 22:44

论文阅读：On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channel

OnDynamicResourceAllocationforBlockchainAssistedFederatedLearningoverWirelessChannelsAbstractI.INTRODUCTIONII.RELATEDWORKSA.EnergyandCommunication-efficientFLB.BlockchainAssistedFLIII.SYSTEMMODEL

甜度超标°·2022-11-23 21:07

Improving unsupervised defect segmentation by applying structural similarity to autoencoders

ImprovingunsuperviseddefectsegmentationbyapplyingstructuralsimilaritytoautoencodersAbstract1.Introduction2.RelatedWork3

Howie_tzh·2022-11-23 15:15

论文阅读笔记：GMC Graph-Based Multi-View Clustering

Graph-BasedMulti-ViewClustering文章目录论文阅读笔记：GMC:Graph-BasedMulti-ViewClustering论文主要贡献论文主要内容摘要2.1Introduction2.2RelatedWork2.3GMC2.4

Yuetianw·2022-11-23 14:52

Hi-C data analysis tools and papers

HiC_toolsToolsaresortedbypublicationdate,newestontop.Unpublishedtoolsarelistedattheendofeachsection.Relatedrepositories

qq_39306047·2022-11-23 14:56

【论文笔记】Reinforcement and Imitation Learning for Diverse Visuomotor Skills

目录AbstractIntroductionRelatedWorkModelA.Background:GAILandPPO1.行为克隆(BehaviorCloning)2.GAIL方法B.ReinforcementandImitationLearningModel1

Ctrl+Alt+L·2022-11-23 11:16

图像分割（四）—— Is Space-Time Attention All You Need for Video Understanding?

TimeformerAbstract1.Introduction2.RelatedWork3.TheTimeSformerModel4.Experiments4.1.AnalysisofSelf-AttentionSchemes4.2

黑洞是不黑·2022-11-23 07:43

（一）基于结构张量的分数阶变分光流模型——2021

基于结构张量的分数阶变分光流模型1.Introduction2.RelatedWork3.HSOpticalFlowModel4.LocalStructureConstraintEquation4.1.

黑洞是不黑·2022-11-23 04:19

【GridMask】《GridMask Data Augmentation》

arXiv-2020文章目录1BackgroundandMotivation2RelatedWork3Advantages/Contributions4GridMask5Experiments5.1ImageClassiﬁcation5.2ObjectDetectiononCOCODataset5.3SemanticSegmentationonCityscapes5.4ExpandGridasRe

bryant_meng·2022-11-23 00:53

【Randaugment】《Randaugment：Practical automated data augmentation with a reduced search space》

CVPRW-2020文章目录1BackgroundandMotivation2RelatedWork3Advantages/Contributions4Method4.1Systematicfailuresofaseparateproxytask4.2Automateddataaugmentationwithoutaproxytask5Experiments5.1CIFAR

bryant_meng·2022-11-23 00:18

【翻译】Paparazzi: Surface Editing by way of Multi-View Image Processing

这里写目录标题摘要1INTRODUCTION2RELATEDWORK3OVERVIEW3.1基于能量的图像过滤器3.2随机多视图优化3.3迭代图像过滤器4设计注意事项4.1相机采样4.2光照和阴影4.3

顺利毕业啊·2022-11-23 00:38

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation

AdaptivePrototypeLearningandAllocationforFew-ShotSegmentationAbstractIntroductionRelatedWorkSemanticSegmentation

栗子菜菜·2022-11-23 00:30

论文阅读|目标检测之基于OTA，以最佳传输优化来实现新的基于CNN的一对多标签分配策略

OTA:OptimalTransportAssignmentforObjectDetection摘要1.Introduction2.Relatedwork2.1FixedLabelAssignment2.2DynamicLabelAssignment3

yanghaoplus·2022-11-22 23:10

论文阅读|TransPose

TransPose:KeypointLocalizationviaTransformer目录AbstractIntroductionRelatedWorkHumanposeestimationExplainabilityTransformerMethodArchitectureBackboneTransformerHeadResolutionSettingsAttentionsaretheDepe

xiaoweiyuya·2022-11-22 22:41

Texture Mapping for 3D Reconstruction with RGB-D Sensor(CVPR_2018) 中文翻译论文带读

TextureMappingfor3DReconstructionwithRGB-DSensorAbstract1.Introduction2.RelatedWork3.Overview4.TextureMappingMethod4.1

沃洛德.辛肯·2022-11-22 21:01

DIP-VBTV: Color Image Restoration Model Combining Deep Image Prior and Vector Bundle Total Variation

目录0Abstract.1、Introduction.1.1.Newperspectiveonimagerestoration/图像恢复的新视角1.2.Relatedwork.1.2.1.VBTVpriorstoexpressperceptualinvariance

Claire_Shang·2022-11-22 21:25

D2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention

文章目录D2ETR:Decoder-OnlyDETRwithComputationallyEfficientCross-ScaleAttentionAbstract1Introduction2RelatedWork3RevisitingEncoder-decoderArchitecture4Decoder-onlyDETR4.1D2ETR

ZZE15832206526·2022-11-22 20:24

L-DETR: A Light-Weight Detector for End-to-End Object Detection With Transformers

L-DETRABSTRACTI.INTRODUCTIONII.RELATEDPRELIMINARYWORK**A.用于目标检测的轻型模型****B.激活函数****C.规范化**III.一种基于PP-LCNet

ZZE15832206526·2022-11-22 20:53

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

文章目录DN-DETR:AccelerateDETRTrainingbyIntroducingQueryDeNoisingAbstract1.Introduction2.RelatedWork3.WhyDenoisingacceleratesDETRtraining