related 第32页

（一）基于结构张量的分数阶变分光流模型——2021

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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》

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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

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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

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yanghaoplus·2022-11-22 23:10

论文阅读|TransPose

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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

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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

ZZE15832206526·2022-11-22 20:53

【ICCV 2021】DepthContrast：Self-Supervised Pretraining of 3D Features on any Point-Cloud

文章目录1.四个问题2.论文介绍Abstract1.Introduction2.RelatedWork3.DepthContrast3.1.InstanceDiscrimination3.2.ExtensiontoMultiple3DInputFormats3.3

I"ll carry you·2022-11-22 19:53

SE注意力机制

Fig.1.ASqueeze-and-Excitationblock目录1.INTRODUCTION2.RELATEDWORK3.SQUEEZE-AND-EXCITATIONBLOCKS3.1Squeeze

赱在冷風中·2022-11-22 15:57

【深度学习】语义分割：论文阅读(没太懂)：（2022-1）Lawin Transformer：大窗口注意力改进多尺度表示的语义分割

目录详情摘要1.Introduction之前的技术现在的方法2.RelatedWorkvit的探索MLP-Mixer3.Method3.1.Background3.2.LargeWindowAttention3.3

sky_柘·2022-11-22 13:17

论文学习-Segmenter: Transformer for Semantic Segmentation

目录一、Segmenter:TransformerforSemanticSegmentationAbstract1.Introduction2.Relatedwork3.Ourapproach:Segmenter3.1

ZZE15832206526·2022-11-22 13:11

Faster RCNN论文理解

文章目录Faster-RCNN1.Introduction2.RelatedWork3.FasterRCNNRPN之前的CNN(Backbone)3.1RegionProposalNetworks3.1.1Anchors3.1.2LossFunction3.1.3TrainingRPNs3.2SharingFeaturesforRPNandFastRCNN

KirutoCode·2022-11-22 13:07

signature=45841f81ba52c91c59e42a0a13fa2fe5,ALUMINA HAVING A COMPLEX PORE STRUCTURE, AND CATALYST AND...

CROSSREFERENCEOFRELATEDAPPLICATIONSThepresentapplicationclaimsthebenefitoftheChinesePatentApplicationsNo

龙心有你·2022-11-22 13:04

论文超详细精读|五千字：PB-GCN

文章目录前言总览一、Introduction主要贡献二、RelatedWorkGraph-basedmethods（基于图的方法）三、Background3.1Part-basedGraph(基于部分的图

湘粤Ian·2022-11-22 11:15

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud（CVPR2021）三维目标检测

文章目录目录WuZhengWeiliangTangLiJiangChi-WingFuTheChineseUniversityofHongKong[paper]文章目录摘要1.Introduction2.RelatedWork3

我是一个萌新啊·2022-11-22 10:07

PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model-2022.4.6

论文地址代码地址pp-liteseg的代码段pp-liteseg摘要1.introduction2.relatedwork2.1semanticsegmentation2.2real-timesemanticsegmentation2.3featurefusionmodule

dear_queen·2022-11-22 09:23

[Transformer]U2Former:A Nested U-shaped Transformer for Image Restoration

AbstractSectionIIntroductionSectionIIRelatedWorkSectionIIIMethodSectionIVExperimentsPart1AlbationStudyPart2ExperimentonImageDerainingPart3ExperimentsonImageDehazingSect

黄小米吖·2022-11-22 07:00

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction论文阅读笔记

两种可视化的展示方式，清晰明了的展示了作者方法的有效性；table1中展示的模型分数函数和参数；在relatedwork中分析自己模

NYSDY·2022-11-22 01:53

[判别学习]Discriminative Transfer Learning for General Image Restoration文章翻译与分析

[判别学习]DiscriminativeTransferLearningforGeneralImageRestoration文章翻译与分析本文来自AbstractIntroductionRelatedWorkProposedmethod1

AsajuHuishi·2022-11-22 01:21

Raki的读paper小记：CLIP:Learning Transferable Visual Models From Natural Language Supervision

Abstract&Introduction&RelatedWork研究任务多模态对比学习+prompt已有方法和相关工作面临挑战创新思路使用文本和图像对配对来做无监督对比学习，并且使用prompt增强效果实验结论

爱睡觉的Raki·2022-11-22 00:14

机器学习建立模型_数据科学家如何在现实生活中建立机器学习模型

机器学习建立模型Thewebisalreadyfloodedbydatascienceandmachinelearningrelatedresourcesnowadays.Therearenumerousblogs

weixin_26713457·2022-11-22 00:17

UNIMO-2: 端到端的统一视觉语言全面学习

UNIMO-2:End-to-EndUnifiedVision-LanguageGroundedLearningUNIMO：基于跨模态对比学习的统一模态理解和生成目录总结一、Introduction二、RelatedWork1

前世忘语·2022-11-21 22:42

【论文阅读】强化学习与知识图谱结合实现序列推荐

AKnowledge-GuidedReinforcementLearningModelforSequentialRecommendation时间：SIGIR2020【目录】前言摘要Abstract1引入Introduction2相关工作RelatedWork3

chenchenlllll·2022-11-21 22:44

Learning with Noisy Correspondence for Cross-modal Matching 文献翻译 & 代码简析

LearningwithNoisyCorrespondenceforCross-modalMatching基于噪声对应的跨模态匹配学习LearningwithNoisyCorrespondenceforCross-modalMatching文献翻译Abstract摘要1Intorduction简介2Relatedworks

SDUer_DZL·2022-11-21 22:41

基于Skeleton的手势识别：SAM-SLR

SkeletonAwareMulti-modalSignLanguageRecognition解读摘要1.简介2.RelatedWork2.1SignLanguageRecognition(SLR)2.2SkeletonBasedActionRecognition2.3Multi-modalApproach3

Airs_Gao·2022-11-21 21:28

机器学习之PCA特征降维+案例实践

机器学习之PCA特征降维+案例实践1降维降维是指在某些限定条件下，降低随机变量(特征)个数，得到一组“不相关”主变量的过程降低随机变量的个数相关特征(correlatedfeature)相对湿度与降雨量之间的相关等等正是因为在进行训练的时候

丶凉介·2022-11-21 21:09

内存高效的可逆 GAN 网络：Reversible GANs for Memory-efficient Image-to-Image Translation

ReversibleGANsforMemory-efficientImage-to-ImageTranslation[pdf]目录AbstractIntroductionBackgroundandRelatedWorkMethodAbstractThePix2pix

Phoenixtree_DongZhao·2022-11-21 19:02

【论文笔记】用于几何匹配的卷积神经网络结构(CNN for Geometric Matching)

用于几何匹配的卷积神经网络结构(CNNforGeometricMatching)文章目录AbstractCNNRelatedWorkArchitectureforGeometricMatching特征提取

求求你来BUG行不行·2022-11-21 19:52

点云生成-PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

点云生成-PointFlow:3DPointCloudGenerationwithContinuousNormalizingFlows简介论文摘要1.introduction2.relatedworks3

楠辰小辉·2022-11-21 15:01

When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanis

文章目录AbstractIntroductionRelatedWorkShiftBlockArchitectureVariantsExperimentAblationStudyMLP中的展开比τ\tauτ

big_hm·2022-11-21 10:59

[TinyML]EfficientFormer:Vision Transformers at MobileNet Speed

EfficientFormer:VisionTransformersatMobileNetSpeedAbstractSectionIIntroductionSectionIIRelatedWorkSectionIIIOn-DeviceLatencyAnalysisofVisionTransformersSectionIVDesignofEfficientFormerPart1Dimension-c

黄小米吖·2022-11-21 10:24

（七十六）：Masked Autoencoders Are Scalable Vision Learners

（七十六）：MaskedAutoencodersAreScalableVisionLearnersAbstract1.Introduction2.RelatedWork3.Method4.ImageNetExperiments4.1

Laura_Wangzx·2022-11-21 10:24

【CAM】Learning Deep Features for Discriminative Localization

在ILSVRCbenchmark的弱监督定位方法上，本文模型的错误率接近AlexNet1.1.RelatedWork图像分类任务可以衍生到目标定位上，介绍了本文相关工

Ziy.·2022-11-21 08:21

论文学习笔记（13）：Face re-identification challenge: Are face recognition models good enough?

目录Abstract1.Introduction2.Relatedwork2.1人脸识别问题的研究现状2.2人脸识别方法2.3图像超分2.4行人re-ID2.5监控人脸re-ID3.Facere-IDchallenge3.1SurvFacedataset3.2

鱿鱼圈是真鱿鱼吗·2022-11-21 02:41

[Transformer]Mobile-Former:Bridging MobileNet and Transformer

formAbstractSectionIIntroductionSectionIIRelatedWorkLight-weightconvolutionalneuralnetworksCNN与ViT结合SectionIIIOurMethod

黄小米吖·2022-11-20 21:17

[Transformer]CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows

AbstractSectionIIntroductionSectionIIRelatedWorkSectionIIIMethodPart1OverallArchitecturePart2Cross-ShapedWindowSelf-AttentionSectionIVExperimentsPart1ImageNe

黄小米吖·2022-11-20 21:46

Point-NeRF: Point-based Neural Radiance Fields论文翻译笔记

:Point-basedNeuralRadianceFields目录Point-NeRF:Point-basedNeuralRadianceFieldsAbstract1.Introduction2.RelatedWork3

ysh9888·2022-11-20 20:52

《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》论文翻译--中英对照

文章目录1Introduction(简介)2RelatedWork（相关工作）2.1Feature-basedApproaches（基于特征的方法）2.2Fine-tuningApproaches（微调方法

吕秀才·2022-11-20 18:08

POI推荐文献阅读笔记2： GETNext：Trajectory Flow Map Enhanced Transformer for Next

唯有清风搭乘我·2022-11-20 16:12

From Image to Imuge: Immunized Image Generation

FromImagetoImuge:ImmunizedImageGenerationBriefIntroductionofmyselfIntroductionofthisworkRelatedWorksImageSelf-EmbeddingImageReconstruction

yingqichao·2022-11-20 16:05

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

NeRF:RepresentingScenesasNeuralRadianceFieldsforViewSynthesisAbstract.1Introduction2RelatedWork3NeuralRadianceFieldSceneRepresentation4VolumeRenderingwithRadianceFields5OptimizingaNeuralRadianceField5

attacking tiger·2022-11-20 15:36

论文笔记 -- SOFT: Softmax-free Transformer with Linear Complexity

文章目录SOFT：Softmax-freeTransformerwithLinearComplexityBackgroundMotivation投影相关工作ContributionRelatedwork

博o_Oer~·2022-11-20 14:02

深度学习论文阅读图像分类篇（五）：ResNet《Deep Residual Learning for Image Recognition》

深度学习论文阅读图像分类篇（五）：ResNet《DeepResidualLearningforImageRecognition》Abstract摘要1.Introduction引言2.RelatedWork

Jasper0420·2022-11-20 12:37

[Transformer]CoAtNet:Marrying Convolution and Attention for All Data Sizes

AbstractSectionIIntroductionSectionIIModelPart1MergingConvolutionandSelf-AttentionPart2VerticalLayputDesignSectionIIIRelatedWorkSectionIVExperimentsPart1MainResultsPart2Ablati

黄小米吖·2022-11-20 11:03

CVPR,ICCV,ECCV顶会论文

Awesome-Computer-Vision-Paper-List:Thisrepositorycontainsallthepapersacceptedintopconferenceofcomputervision,withconveniencetosearchrelatedpapers

road_of_god·2022-11-20 09:50

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