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ID:57044212
大小:1.84 MB
页数:48页
时间:2020-07-28
《Putting Context into Vision把语境分为视觉课件.ppt》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、PuttingContextintoVisionDerekHoiemSeptember15,2019QuestionstoAnswerWhatiscontext?Howiscontextusedinhumanvision?Howiscontextcurrentlyusedincomputervision?ConclusionsWhatiscontext?Anydataormeta-datanotdirectlyproducedbythepresenceofanobjectNearbyimagedataContextWha
2、tiscontext?Anydataormeta-datanotdirectlyproducedbythepresenceofanobjectNearbyimagedataSceneinformationContextContextWhatiscontext?Anydataormeta-datanotdirectlyproducedbythepresenceofanobjectNearbyimagedataSceneinformationPresence,locationsofotherobjectsTreeHowdow
3、eusecontext?AttentionArethereanylivefishinthispicture?CluesforFunctionWhatisthis?CluesforFunctionWhatisthis?Nowcanyoutell?Low-ResScenesWhatisthis?Low-ResScenesWhatisthis?Nowcanyoutell?MoreLow-ResWhataretheseblobs?MoreLow-ResThesamepixels!(acar)Whyiscontextuseful?
4、ObjectsdefinedatleastpartiallybyfunctionTreesgrowingroundBirdscanfly(usually)DoorknobshelpopendoorsWhyiscontextuseful?ObjectsdefinedatleastpartiallybyfunctionContextgivescluesaboutfunctionNotrootedintothegroundnottreeObjectinsky{cloud,bird,UFO,plane,superman}Do
5、orknobsalwaysondoorsWhyiscontextuseful?ObjectsdefinedatleastpartiallybyfunctionContextgivescluesaboutfunctionObjectslikesomescenesbetterthanothersToiletslikebathroomsFishlikewaterWhyiscontextuseful?ObjectsdefinedatleastpartiallybyfunctionContextgivescluesaboutfun
6、ctionObjectslikesomescenesbetterthanothersManyobjectsareusedtogetherand,thus,oftenappeartogetherKettleandstoveKeyboardandmonitorHowiscontextusedincomputervision?Neighbor-basedContextMarkovRandomField(MRF)incorporatescontextualconstraintssites(ornodes)neighborsBlo
7、bsandWords–Carbonetto2019Neighbor-basedcontext(MRF)usefulevenwhentrainingdataisnotfullysupervisedLearnsmodelsofobjectsgivencaptionedimages…DiscriminativeRandomFields–Kumar2019Usingdatasurroundingthelabelsite(notjustatthelabelsite)improvesresultsBuildingsvs.Non-Bu
8、ildingsMulti-scaleConditionalRandomField(mCRF)–He2019Independentdata-basedlabelsRawimageLocalcontextScenecontextmCRFFinaldecisionbasedonClassification(localdat
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