Siffar hanyoyin sadarwa na Pyramid
Feature Pyramid Networks (FPN) yana barin masu gano abubuwa su hange abubuwa a girman daban-daban ta hanyar gina 'dala' mai girman sikeli mai arha.
Dubawa
They are the reason modern detectors find both a tiny faraway pedestrian and a huge nearby truck in the same image.
Zurfafa nutsewa
Abubuwan da ke cikin hotuna suna fitowa a ma'auni da yawa, kuma taswirar sifa guda ɗaya tana ƙoƙarin sarrafa su duka. Tsofaffin hanyoyin sun gina pyramids hoto ta hanyar canza girman hoton sau da yawa da gudanar da hanyar sadarwa akan kowane kwafin, wanda ya kasance a hankali. FPN, wanda Lin et al ya gabatar. a cikin 2017, maimakon haka yana sake amfani da dala na halitta wanda ya riga ya kasance cikin hanyar sadarwa ta juyin juya hali. Kashin baya kamar ResNet yana samar da taswirorin fasali waɗanda ke ƙara ƙarami kuma mafi zurfi cikin hanyar sadarwa. FPN yana ƙara hanyar sama-sama: yana haɓaka zurfi, fasalulluka masu arziƙi na ma'ana kuma yana haɗa su ta hanyar haɗin kai tare da fassarori mara zurfi, babban ƙuduri. Sakamako shine saitin taswirorin fasali waɗanda duk suke da ƙarfi na ma'ana amma suna da cikakkun bayanai na sarari, suna haɓaka gano ƙananan abu a kusan babu ƙarin farashi.
Fahimtar Fasaha
FPN yana da hanyar ƙasa zuwa sama (kashin baya) da kuma hanyar sama zuwa ƙasa. Kowane matakin sama-sama yana haɓakawa ta 2x (makwabci-makusanci) kuma an ƙara kashi-hikima zuwa taswirar siffa ta gefen 1x1 mai jujjuya ƙudurin daidaitawa. Juyin juzu'i na 3x3 sannan ya daidaita kowane taswirar da aka haɗa don rage laƙabi. Wannan yana samar da matakan P2-P5 tare da ƙayyadaddun adadin tashoshi (sau da yawa 256), kowannensu yana aiki tare da gano abubuwa na kewayon ma'auni.
Dabarun Tasiri
Gudu da sikelin
Kayayyakin AI na iya sarrafa aiki da bincike, ganowa, da ayyuka masu alama a sikelin.
Gina zaɓuɓɓuka
Ƙungiyoyin ƙirƙira za su iya samar da ra'ayoyi cikin sauri tare da ƙarancin bita da hannu.
Ƙungiya da aikin aiki
Ayyuka na iya amfani da siginar hoto da bidiyo waɗanda a baya suke da wahalar aiwatarwa.
Makomar Hanyoyin Sadarwar Pyramid
Tsarin sama-sama na FPN ya haifar da magada da yawa: PANet yana ƙara hanyar ƙasa zuwa sama, BiFPN (wanda aka yi amfani da shi a cikin EfficientDet) yana sa fusion abin koyi da bidirectional tare da ma'auni masu nauyi, kuma NAS-FPN yana bincika topology ta atomatik. Masu gano masu canzawa kamar DETR ɓangarorin ɓangarorin dala bayyanannu, amma haɗuwa da sikeli da yawa ya kasance tsakiya. Yi tsammanin ra'ayoyin salon FPN su dawwama a cikin na'urori masu canza hangen nesa da ingantattun na'urorin gano na'urori, da haɓaka tare da koyo, ma'aunin ma'aunin daidaitacce maimakon kafaffen haɗi.
Aiwatar da Gaskiyar Duniya
Gano kanana, masu tafiya a hanya mai nisa da kuma manyan motocin da ke kusa da su lokaci guda a cikin tarkacen fahimtar mota masu tuƙi da kansu.
Ƙarfafa ɓangaren misali a cikin Mask R-CNN, inda FPN ke ciyar da fasalulluka masu yawa zuwa shawarwarin yanki da shugabannin abin rufe fuska.
Haɓaka ƙananan ciwace-ciwace tare da manyan gabobin cikin bututun gano hoton likita
Gano abubuwa masu girma dabam a cikin tauraron dan adam da hotuna na iska, daga kananan jiragen ruwa zuwa manyan gine-gine
Hatsari & Tsare-tsare
Haƙƙoƙin hoto da yarda na iya zama haxarin doka idan ba a fayyace ba.
Ayyukan samfuri na iya bambanta a ko'ina cikin haske, ƙididdiga, da mahalli.
Ƙarya tabbataccen ƙila ba za a iya lura da shi ba sai dai idan an kula da ƙofofin amincewa.
Taswirar Hanya
Ƙayyade ma'auni na karɓa don daidaito, tunowa, da farashi na kuskure.
Gwada tare da bayanan da suka dace da ainihin yanayin samarwa.
Ƙara bita na ɗan adam don ƙarancin amincewa ko tsinkaya mai tasiri.
Bi diddigin ƙirar ƙira kuma sake ingantawa bayan canje-canjen kamara ko saitin bayanai.
Ci gaba da Bincike
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Jagora na gaba
Cibiyoyin Taswira na sarari
Tambayoyin da ake yawan yi
What is Feature Pyramid Networks?
Feature Pyramid Networks (FPN) yana barin masu gano abubuwa su hange abubuwa a girman daban-daban ta hanyar gina 'dala' mai girman sikeli mai arha. Wannan shine dalilin da ya sa na'urori na zamani suka sami duka ɗan ƙaramin mai tafiya mai nisa da wata katuwar babbar motar da ke kusa a cikin hoto ɗaya.
Wace babbar matsala ce cibiyar sadarwa ta Feature Pyramid ke magance da farko?
FPN yana gina siffa mai ma'auni da yawa don haka mai ganowa zai iya ɗaukar abubuwa daga kanana zuwa manya sosai a cikin wucewa ɗaya.
A cikin FPN, menene aikin hanyar sama zuwa ƙasa?
Hanya na sama zuwa sama tana ɗaukar samfura masu zurfi, fasalulluka na ma'ana kuma suna haɗa su da taswira mara zurfi, babban ƙuduri don haka kowane matakin yana da cikakkun bayanai kuma yana da ƙarfi a ma'ana.
Ta yaya ake haɗe haɗin kai a kaikaice tare da samfurori na sama-ƙasa?
Juyin juzu'i na 1x1 yana daidaita ƙidayar tashar taswirar siffa ta gefe, wanda sannan aka ƙara kashi-hikima zuwa fasalin sama-sama 2x.
Me yasa ake amfani da juzu'in 3x3 akan kowace taswirar fasalin da aka haɗa a cikin FPN?
Bayan haɓaka-hikima, juzu'i na 3x3 yana rage ƙayyadaddun kayan tarihi waɗanda aka gabatar ta hanyar haɓakawa, suna samar da matakan dala masu tsafta.
Wanne gine-ginen daga baya ya tsawaita FPN tare da abin koyo, haɗakarwa mai nauyi?
BiFPN, wanda aka gabatar tare da EfficientDet, yana yin fasalin fusion bidirectional kuma yana koyon ma'auni don yadda kowane shigarwar ke ba da gudummawa sosai.