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【CV论文笔记】AutoFocus:EfficientMulti-ScaleInference本文主要用于介绍LarryS.Davis团队于2018年提出的一种新的目标检测算法CornerNet。本笔记主要为方便初学者快速入门，以及自我回顾。
论文解读：LearningtoAutoFocus(二)前面介绍了LearningtoAutoFocus这篇文章，这篇文章主要是基于深度学习的方式来实现自动对焦算法的，不过这篇文章的补充材料里面，也介绍了很多传统算法的自动对焦算法，总得来说，是基于反差的对焦技术...
论文解读：LearningtoAutoFocus今天介绍谷歌计算摄影团队的一篇新文章，LearningtoAutoFocus，发表在CVPR2020上。在摄影中，自动对焦是一个非常重要的环节，相信绝大多数的用户，对于AF的要求都是又快又准，相机由于镜头的特性，一般...
论文地址：AutofocusLayerforSemanticSegmentation来自MICCAI2018的一篇分割的论文本文是用了attention模块和parallelisingmultipleconvwithdiferenetdilationrates(就是多个平行的不同rate的dilaconv)本文先总结了目前进行语义分割三种方法：1、...
Reliableautofocusisrequiredtoobtainaccuratemeasurementsoffluorescentstainedcellularcomponentsfromasystemcapableofscanningmultiplemicroscopefields.Autofocuscouldbeperformeddirectlywithfluorescenceimages,butduetophotobleachinganddestructivefluorescenceby-products,itisbesttominimizefluorescenceexposureforphotosensitivespecimensandlivecells.
Ingeometricaloptics,afocus,alsocalledanimagepoint,isthepointwherelightraysoriginatingfromapointontheobjectconverge.Althoughthefocusisconceptuallyapoint,physicallythefocushasaspatialextent,calledtheblurcircle.Thisnon-idealfocusingmaybecausedbyaberrationsoftheimagingoptics.
DeepLearningforCameraIEEETransactionsonComputationalImaging(IF3.490)PubDate:2021-02-16,DOI:10.1109/tci.2021.3059497ChengyuWang,QianHuang,MingCheng,ZhanMa,DavidJ.BradyMostdigitalcamerasusespecializedautofocussensors,suchasphasedetection,lidarorultrasound,todirectlymeasurefocusstate.
ABayesianapproachtosimultaneousautofocusandsuper-resolutionThispaperpresentsanumericalBayesianapproachtotheautofocusandsuper-resolutionoftargetsinradarimagery.Anill-posedinverseproblemisstudiedinwhichtheknownlinearimagingoperatorissubjecttoanunknowndegreeofdistortion(defocusing).
developmentofautomatic3dbloodvesselsearchandautomaticbloodsamplingsystembyusinghybridstereo-autofocusmethod
编辑：AmusiDate：2020-06-20来源：CVer微信公众号链接：300+篇CVPR2020代码开源的论文，全在这里了！前言之前Amusi整理了1467篇CVPR2020所有论文PDF下载资源，以及270篇CVPR2020代码开源论文项目，详见：…
【CV论文笔记】AutoFocus:EfficientMulti-ScaleInference本文主要用于介绍LarryS.Davis团队于2018年提出的一种新的目标检测算法CornerNet。本笔记主要为方便初学者快速入门，以及自我回顾。
论文解读：LearningtoAutoFocus(二)前面介绍了LearningtoAutoFocus这篇文章，这篇文章主要是基于深度学习的方式来实现自动对焦算法的，不过这篇文章的补充材料里面，也介绍了很多传统算法的自动对焦算法，总得来说，是基于反差的对焦技术...
论文解读：LearningtoAutoFocus今天介绍谷歌计算摄影团队的一篇新文章，LearningtoAutoFocus，发表在CVPR2020上。在摄影中，自动对焦是一个非常重要的环节，相信绝大多数的用户，对于AF的要求都是又快又准，相机由于镜头的特性，一般...
论文地址：AutofocusLayerforSemanticSegmentation来自MICCAI2018的一篇分割的论文本文是用了attention模块和parallelisingmultipleconvwithdiferenetdilationrates(就是多个平行的不同rate的dilaconv)本文先总结了目前进行语义分割三种方法：1、...
Reliableautofocusisrequiredtoobtainaccuratemeasurementsoffluorescentstainedcellularcomponentsfromasystemcapableofscanningmultiplemicroscopefields.Autofocuscouldbeperformeddirectlywithfluorescenceimages,butduetophotobleachinganddestructivefluorescenceby-products,itisbesttominimizefluorescenceexposureforphotosensitivespecimensandlivecells.
Ingeometricaloptics,afocus,alsocalledanimagepoint,isthepointwherelightraysoriginatingfromapointontheobjectconverge.Althoughthefocusisconceptuallyapoint,physicallythefocushasaspatialextent,calledtheblurcircle.Thisnon-idealfocusingmaybecausedbyaberrationsoftheimagingoptics.
DeepLearningforCameraIEEETransactionsonComputationalImaging(IF3.490)PubDate:2021-02-16,DOI:10.1109/tci.2021.3059497ChengyuWang,QianHuang,MingCheng,ZhanMa,DavidJ.BradyMostdigitalcamerasusespecializedautofocussensors,suchasphasedetection,lidarorultrasound,todirectlymeasurefocusstate.
ABayesianapproachtosimultaneousautofocusandsuper-resolutionThispaperpresentsanumericalBayesianapproachtotheautofocusandsuper-resolutionoftargetsinradarimagery.Anill-posedinverseproblemisstudiedinwhichtheknownlinearimagingoperatorissubjecttoanunknowndegreeofdistortion(defocusing).
developmentofautomatic3dbloodvesselsearchandautomaticbloodsamplingsystembyusinghybridstereo-autofocusmethod
编辑：AmusiDate：2020-06-20来源：CVer微信公众号链接：300+篇CVPR2020代码开源的论文，全在这里了！前言之前Amusi整理了1467篇CVPR2020所有论文PDF下载资源，以及270篇CVPR2020代码开源论文项目，详见：…
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