Experiments 第5页

论文写作心得

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相关技巧：（四）Experiments

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

【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

论文笔记：Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus

基于高质量翻译训练语料库的跨语言语义角色标注摘要介绍2相关工作3SRLTranslation（SRL翻译）4TheSRLModel4.1WordRepresentation（词语表征）4.2EncodingLayer4.3OutputLayer5Experiments5.1UniversalPropositionBank5.2SRLTranslation5.3Settings5.4Cross-Li

帅帅梁·2022-11-15 09:11

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

NaturalLanguageSupervision3.2、ContrastiveCaptionersPretraining3.3、ContrastiveCaptionersforDownstreamTasks4、Experiments5

金克丝、·2022-11-14 07:52

脑肿瘤分割学习（4）：Multi-step Cascaded Networks for Brain Tumor Segmentation

Abstract1Introduction2.Methodology2.1Multi-stepCascadedNetwork2.23DU-NetArchitecturewithDeepSupervisions3.Experiments3.1Preprocessing3

几夏经秋·2022-11-07 23:02

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

deep-high-resolution-net.pytorch文章目录1BackgroundandMotivation2RelatedWork3Advantages/Contributions4Method5Experiments5.1Datasets5.2COCOKey-pointDetection5.3MPI

bryant_meng·2022-11-05 15:12

人体部位检测：DID-Net

Airs_Gao·2022-11-02 20:53

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

Abstract1Introduction2RelatedWork3ConvolutionalBlockAttentionModuleChannelattentionmodule代码Spatialattentionmodule代码Arrangementofattentionmodules4Experiments4.1AblationstudiesChannelattentionSpatia

北丐安全·2022-10-30 17:03

论文Is Space-Time Attention All You Need for Video Understanding?阅读笔记

目录写在前面：1.Introduction2.TimeSformermodel2.1JointSpace-Time2.2DividedSpace-Time2.3Othermodels3.Experiments3.1experiment1

Mitsui745·2022-10-27 21:15

【MagNet】《Progressive Semantic Segmentation》

1BackgroundandMotivation2RelatedWork3Advantages/Contributions4Method4.1Multistageprocessingpipeline4.2Refinementmodule4.3MagNetFast5Experiments5.1Datasets5.2ExperimentsontheCityscapesdata

bryant_meng·2022-10-27 11:52

【Stochastic Depth】《Deep Networks with Stochastic Depth》

2016文章目录1BackgroundandMotivation2RelatedWork3Advantages/Contributions4DeepNetworkswithStochasticDepth5Experiments5.1Datasets5.2Results6Conclusion

bryant_meng·2022-10-21 07:37

论文阅读笔记 | 目标检测算法——CornerNet算法

CornerNet2.1Overview2.2DetectingCorners2.3GroupingCorners2.4CornerPooling2.5predictionmodule2.6HourglassNetwork3.Experiments3.1TrainingDetails3.2TestingD

Clichong·2022-10-19 11:28

【交通流预测】《T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction》论文详解

stt-Charon·2022-10-18 07:34

ECCV2020 | CPNDet:Anchor-free两阶段的目标检测框架，详解

/mary_0830/article/details/107820599编辑丨AI深度学习视线CPNDet1Introduction2Approach2.1CPN网络框架2.2Inference阶段3Experiments4Conclusion

Tom Hardy·2022-10-16 12:00

【论文阅读】Point Transformer解读

Background3.2.PointTransformerLayer3.3.PositionEncoding3.4.PointTransformerBlock3.5.NetworkArchitecture4.Experiments5

向上的毛毛·2022-10-14 07:41

【YOLO5Face】《YOLO5Face：Why Reinventing a Face Detector》

arXiv-2021文章目录1BackgroundandMotivation2RelatedWork3Advantages/Contributions4Method5Experiments5.1Datasets5.2AblationStudy5.3YOLO5FaceforFaceRecognition5.4YOLO5FaceonWiderFaceDataset5.5YOLO5FaceonFDDBD

bryant_meng·2022-10-09 14:53

Text Spotting Transformers

Multi-ScaleDeformableAttention2.2.DualDecoders2.3.Box-to-PolygonDetectionProcess2.4.TrainingLosses3.Experiments3.2

ZZE15832206526·2022-10-07 13:03

CVPR2016(classification)：ResNet-论文解读与复现《Deep Residual Learning for Image Recognition》

DeepResidualLearning3.1ResidualLearning3.2IdentityMappingbyShortcut3.3NetworkArchitecture3.4Implementation4.Experiments4.1Image

我是大黄同学呀·2022-10-03 07:47

改进YOLOv5系列：30.结合即插即用的动态卷积ODConv

文章目录本篇是《ODConv结构》的修改演示1.ODConv模型理论部分Experiments2.在YOLOv5中使用ODConv模块新增YOLOv5的

芒果汁没有芒果·2022-09-30 07:35

论文笔记——Generative Adversarial Nets生成对抗网络

GenerativeAdversarialNetsAbstract1Introduction2Relatedwork3Adversarialnets4TheoreticalResults5Experiments6Advantagesanddisadvantages7ConclusionsandfutureworkAbstract

小葵向前冲·2022-09-27 09:21

【精读AI论文】inceptionV2 & BN-inception & Batch Normalization & BN & 批量标准化

Introduction)解决方向(TowardsReducingInternalCovariateShift)解决办法(NormalizationviaMini-BatchStatistics)实验(Experiments

深度不学习！！·2022-06-30 07:05

基于深度学习方法的点云配准1——PointNetLK

文章目录基于深度学习方法的点云配准1——PointNetLK摘要一、Introduction二、RelatedWork三、PointNetLK3.1Overview3.2Derivation3.3Training四、Experiments4.1Trainandtestons

易老图南·2022-06-01 13:07

新功能官宣丨PlayFab让跨平台游戏架构如此简单

PlayFab团队围绕MultiplayerServices多人游戏服务、Party、Experiments实验、数据平台和用户生成内容（UGC）服务提供了一系列令人振奋的更新。

·2022-05-25 10:44

开放集领域自适应OSDA（十三）：Positive-unlabeled learning for open set domain adaptation

Preliminarybackground4.Autoencoder-basedclassificationlossandnnPUrisk5.Open-setdomainadaptationasaPUproblem6.Experiments6.1

CtrlZ1·2022-05-23 10:04

papperreading：《Sparse R-CNN: End-to-End Object Detection with Learnable Proposals》

pdf.arxiv2020文章目录1Background2Motivation3RelatedWork4Advantages/Contributions5Method5.1.Pipeline5.2.Module6Experiments6.1

小苑同学·2022-05-23 07:57

【FastDepth】《FastDepth：Fast Monocular Depth Estimation on Embedded Systems》

ICRA-2019文章目录1BackgroundandMotivation2RelatedWork3Advantages/Contributions4Method5Experiments5.1Datasets5.2FinalResultsandComparisonWithPriorWork5.3AblationStudy6Conclusion

bryant_meng·2022-05-22 07:15

游戏开发者大会发布PlayFab产品更新

PlayFab团队围绕MultiplayerServices多人游戏服务、Party、Experiments实验、数据平台和用户生成内容（UGC）服务提供了一系列令人振奋的更新。

·2022-05-20 19:41

人工智能帮你文字转为Logo | 机器学习

创作模板：目录前言项目安装数据下载1、experiments文件夹2、TextLogo3K数据集3、中文词向量4、中文字体项目测试总结

剑客阿良_ALiang·2022-05-14 07:43

超高分辨率图像内存高效分割的协同全局局部网络论文简读

/paper/190506368文章目录1摘要2论文的贡献3协作性的全局-局部网络3.1Motivation:WhyNotGlobalorLocalAlone3.2GLNetArchitecture4Experiments4.1ImplementationDetails4.2DeepGlobe1

点PY·2022-05-09 07:42

Multi-armed Bandit Experiments

Multi-armedBanditExperiments原文http://analytics.blogspot.com/2013/01/multi-armed-bandit-experiments.htmlThisarticledescribesthestatisticalenginebehindGoogleAnalytics.GoogleAnalyticsusesamulti-armedba

琥珀彩·2022-05-05 07:36

【测试】修改selenium选项配置参数优化性能

但是这可能会导致你用不着的功能也一起加载启动了，先不说暂用性能，就速度很慢这一点就不太友好，所以有必要设置一下1.常用选项下面列举了一些我们比较常用的配置选项完整选项可以看一下https://peter.sh/experiments

冰冷的希望·2022-04-14 21:41

TPH-YOLOv5: （中文翻译）

Multi-ModelEnsembleMethodinObjectDetection2.3.ObjectDetection3.TPH-YOLOv53.1.OverviewofYOLOv53.2.TPH-YOLOv54.Experiments4.1

江小白jlj·2022-04-12 07:14

【持续更新】关于SafeU的安装说明

目录一、写在前面二、SafeU的安装三、魔改源码3.1`Experiments.py`的修改3.2`datasets\base.py`的修改3.3`classification\LPA.py`的修改四、

serity·2022-04-09 07:00

【Stata】空间DID

第一步，打开是stata14,安装xsmle(本文使用的是面板数据）sscinstallxsmle第二步，打开要分析的文件cdD:\experiments（确定文件位置）use"data.dta"（使用面板数据文件

一颗小柚子lyc·2022-04-04 20:04

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization 全文翻译+详细解读

Self-SupervisedLearningforAnomalyDetectionandLocalization全文翻译+详细解读文章速览全文翻译及详细解释0.摘要Abstract1.介绍Introduction3.RelatedWork相关工作4.Experiments

夜夜夜Best·2022-03-31 07:52

如何精读论文

论文组成：1.title2.abstract3.introduction4.method5.experiments6.conclusion第一遍：标题、摘要、结论。

兔斯基不吃吐司·2022-03-29 07:11

本周的总结

2.1MIXMATCH3REMIXMATCH3.1DISTRIBUTIONALIGNMENT（分布对齐）3.2IMPROVEDCONSISTENCYREGULARIZATION（改进的一致性正则化）3.3PUTTINGITALLTOGETHER（综合考虑）4EXPERIMENTS

ZN_daydayup·2022-03-24 07:27

Hard-Attention for Scalable Image Classification阅读笔记

目录一、Title1.1前言：二、summary（idea）2.1研究背景：2.2存在问题：2.3设计目的：2.4创新点：三、Method3.1简述3.2模型方法：3.3模型组成：四、Experiments

bu volcano·2022-03-24 02:20

NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing

TowardsCrowdedPedestrianDetectionbyProposalPairingAbstract1.IntroductionPedestrian2.RelatedWorks3.Method4.Experiments5

things ing...·2022-03-17 07:06

论文精读：Neural Architecture Search without Training

文章目录1.Abstract2.Background3.Method3.1score3.2NASWOT3.3AREA4.Experiments5.Corecode1.Abstract 手工设计深度神经网络所花费的时间和精力是巨大的

夏小悠·2022-02-16 07:34

【自动驾驶论文阅读笔记——精读YOLOP】

写在前面1.Abstract2.Introdunction3.YOLOP3.1Overview3.2Encoder3.3Decoder3.4LossFunction3.5TrainingParadigm4.Experiments4.1ComparewithSOTA4.2Ablation5

书玮嘎·2022-02-14 07:54

论文写作技巧总结

论文组成abstract,introduction,relatedworks,approaches,experiments,applications(optional),conclusion1、IntroductionIntroduction

LS_learner·2022-02-06 07:37

如何给 Chrome 开发者工具设置 Material Design 风格的主题外观

在设置选项里，选择Dark，即可加载如下图所示的风格：还可以安装这个MaterialDevToolsThemeCollection：在Chrome开发者工具的Experiments选项里，勾上“Allowextensionstoloadcustomstylesheets

·2021-11-02 13:37

ByteTrack: Multi-Object Tracking by Associating Every Detection Box阅读笔记

Multi-ObjectTrackingbyAssociatingEveryDetectionBox阅读笔记(一)Title(二)Summary(三)ResearchObject(四)ProblemStatement(五)Method(六)Experiments6.1BYTE

不知道叫啥好一点·2021-10-23 21:37

170530 如何在十天内掌握线性代数 | 学习资料

94114/329073/英文：http://calnewport.com/blog/2012/10/26/mastering-linear-algebra-in-10-days-astounding-experiments-in-ultra-learning

夏天南瓜X·2021-06-25 06:58

测序的深度的建议

SequencingCoverageRequirementshttps://www.illumina.com/science/technology/next-generation-sequencing/plan-experiments

浩瀚之宇·2021-06-11 06:15

Flutter 1.12 Hot UI 简介

安装更新FlutterPluginsPreferencePlugins开启HotUI功能Experiments3.新建一个Flutter工程，选取main.dart4.在IDE的最右侧

西风兔·2021-06-10 16:15

Animals Experiments

24.Nowadaysanimalexperimentsarewidelyusedtodevelopnewmedicinesandtotestthesafetyofotherproducts.Somepeoplearguethattheseexperimentsshouldbebannedbecauseitismorallywrongtocauseanimalstosuffer,whileothe

好好种地·2021-05-11 22:01

新的颜色对比度算法-感知对比度算法APCA

启用该功能设置：选中Settings>Experiments下的EnablenewAdvancedPerceptualContrastAlgorithm(APCA

·2021-03-14 21:45

推荐频道

Experiments