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ID:39716070
大小:1.88 MB
页数:10页
时间:2019-07-09
《Recurrent Topic-Transition GAN for Visual Paragraph Generation》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、RecurrentTopic-TransitionGANforVisualParagraphGenerationXiaodanLiangZhitingHuHaoZhangCarnegieMellonUniversityCarnegieMellonUniversityCarnegieMellonUniversityxiaodan1@cs.cmu.eduzhitingh@cs.cmu.eduhao@cs.cmu.eduChuangGanEricP.XingTsinghuaUniversityCarnegieMellonUniversityganch
2、uang1990@gmail.comepxing@cs.cmu.eduAbstracta)Genericdescription:AgroupofpeoplearesittingaroundalivingAnaturalimageusuallyconveysrichsemanticcontentroomtogether.Oneofthemeniswearingblacksleeveshirtandbluepants.Amanissittingandcanbeviewedfromdifferentangles.Existingim-nexttoth
3、ewoodentable.Amanandwomanaresittingonacouch.Thereisabrownagedescriptionmethodsarelargelyrestrictedbysmallwoodentableintheroom.setsofbiasedvisualparagraphannotations,andfailtocoverrichunderlyingsemantics.Inthispaper,weinves-b)Personalizeddescriptions:tigateasemi-supervisedpar
4、agraphgenerativeframeworkThereisamansittingonawoodenchair.Asmilingwomanissittingonacouch.ThemanwithawhiteremotewithwhiteShehasyellowshorthairandiswearingathatisabletosynthesizediverseandsemanticallycoher-buttonsiswearingablackandwhiteshortsleeveshirt.Sheisholdingawhiteentpar
5、agraphdescriptionsbyreasoningoverlocalseman-shirtandjeanpants.Awomannexttoplate.Thereisabrowncouchinthelivinghimhasredshirtsandredskirts.Thereroom.Infrontofherisawoodentable.ticregionsandexploitinglinguisticknowledge.Thepro-areamanandwomansittingonthefloorTherearepapersandgl
6、assesonthetable.nexttoawoodentable.posedRecurrentTopic-TransitionGenerativeAdversarialNetwork(RTT-GAN)buildsanadversarialframeworkbe-Figure1.OurRTT-GANisabletoautomaticallyproducegenerictweenastructuredparagraphgeneratorandmulti-levelparagraphdescriptionsshownin(a),andperson
7、alizeddescriptionsparagraphdiscriminators.Theparagraphgeneratorgen-bymanipulatingfirstsentences(highlightedinred),shownin(b).eratessentencesrecurrentlybyincorporatingregion-basedvisualandlanguageattentionmechanismsateachstep.datasets[22,34,17]pairingimageswithnaturallanguageT
8、hequalityofgeneratedparagraphsentencesisassesseddescriptions.Despitetheenco
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