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Feature Pyramid Networks
Feature Pyramid Networks (FPN) ita kuti madetectors aone zvinhu pahukuru hwakasiyana-siyana nekuvaka akawanda-scale 'piramidhi' yezvinhu zvakachipa.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
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Pfupiso
Izvi ndizvo zvinoita kuti madetector echimanjemanje awane mufambi ari kure kure nerori hombe riri padyo mumufananidzo mumwechete.
Kudzika Kwakadzika
Zvinhu zviri mumifananidzo zvinoonekwa pazvikero zvakawanda, uye mepu imwe chete inonetseka kuzvibata zvese. Nzira dzechinyakare dzakavaka mapiramidhi emufananidzo nekugadzirisa foto kakawanda uye nekumhanyisa network pakopi yega yega, iyo yainonoka. FPN, yakaunzwa naLin et al. muna 2017, panzvimbo pacho inoshandisazve piramidhi yemusikirwo yatove mukati meiyo convolutional network. Musana wakaita seResNet unoburitsa mamepu anoita madiki uye akawedzera semantic kudzika mukati metiweki. FPN inowedzera yekumusoro-pasi nzira: inokwidziridza yakadzika, semantically yakapfuma maficha uye inoabatanidza kuburikidza neanotevera yekubatanidza ine isina kudzika, yakakwirira-resolution maficha. Mhedzisiro iyi seti yemamepu ane humbowo akasimba semantiki asi anoramba akajeka enzvimbo, achivandudza zvinoshamisa kuona-chinhu chidiki pasina muripo wakawedzerwa.
Kuitwa muNyika yeChokwadi
Kuona vafambi vadiki, vari kure uye mota hombe dziri padyo panguva imwe chete mumotokari dzinozvityaira dzinoona.
Simba remuenzaniso segmentation muMask R-CNN, uko FPN inodyisa akawanda-scale maficha kudunhu chikumbiro uye mask misoro.
Kuona matundu madiki padivi penhengo hombe mumapaipi ekuona ekuona kwekurapa
Kutsvaga zvinhu zvehukuru hwakasiyana mumufananidzo wesatellite uye wemuchadenga, kubva kuzvikepe zvidiki kusvika kune zvivakwa zvikuru
Ramangwana reChimiro Pyramid Networks
Dhizaini yeFPN yekumusoro-pasi yakabereka vatsivi vazhinji: PANet inowedzera nzira yepasi-kumusoro, BiFPN (inoshandiswa muEfficientDet) inoita kuti fusion idzidzike uye inoraudzira ine huremu hwekubatanidza, uye NAS-FPN inotsvaga iyo fusion topology otomatiki. Transformer detectors senge DETR sidestep yakajeka mapiramidhi, asi yakawanda-scale fusion inoramba iri pakati. Tarisira mazano emhando yeFPN kuti arambe ari mukati mevashanduri vechiratidzo uye anoshanda-pa-mudziyo anoongorora, achiwedzera neakadzidza, anochinja-chinja uremu panzvimbo pekubatana kwakagadziriswa.
Kuzvishandisa
Nei zvichikosha
- Kumhanya uye chiyero. Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero.
- Vaka sarudzo. Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma.
- Team uye workflow. Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa.
Chenjera
- Kodzero dzemifananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana provenance isina kujeka.
- Kuita kwemuenzaniso kunogona kusiyanisa kupenya, huwandu hwevanhu, uye nharaunda.
- Manyepo enhema anogona kusacherechedzwa kunze kwekunge zvikumbaridzo zvekuvimba zvikatariswa.
Matanho anotevera
- Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.
- Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.
- Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.
- Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.
Ramba Uchiongorora
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Mibvunzo inowanzo bvunzwa
Chii chinonzi Feature Pyramid Networks?
Feature Pyramid Networks (FPN) ita kuti madetectors aone zvinhu pahukuru hwakasiyana-siyana nekuvaka akawanda-scale 'piramidhi' yezvinhu zvakachipa. Izvi ndizvo zvinoita kuti madetector echimanjemanje awane mufambi ari kure kure nerori hombe riri padyo mumufananidzo mumwechete.
Nderipi dambudziko guru iro Feature Pyramid Network rinonyanya kugadzirisa?
FPN inovaka yakawanda-scale chimiro chinomiririra kuitira kuti detector igone kubata zvinhu kubva padiki kusvika pahombe kwazvo mukupfuura kamwe.
MuFPN, ndeipi basa renzira yepamusoro-pasi?
Iyo yekumusoro-pasi nzira inokwidza yakadzika, semantic maficha uye inoabatanidza iwo asina kudzika, akakwirira-resolution mepu saka nhanho yega yega ine hudzamu uye semantic yakasimba.
Ko lateral yekubatanidza inowanzobatanidzwa sei neyakasimudzwa kumusoro-pasi maficha?
Iyo 1x1 convolution inogadzirisa chiteshi kuverenga kweiyo lateral chimiro mepu, iyo inozowedzerwa element-huchenjeri kune 2x-upsampled kumusoro-pasi chimiro.
Sei 3x3 convolution ichiiswa kune yega yega yakasanganiswa mepu muFPN?
Mushure mekuwedzera-huchenjeri hwekuwedzera, 3x3 convolution inoderedza hunyanzvi hwekunyengerera hunounzwa neupsampling, ichigadzira akachena mapiramidhi.
Ndechipi chivakwa chekupedzisira chakawedzera FPN ine inodzidzika, inorema bidirectional fusion?
BiFPN, yakaunzwa neEfficientDet, inoita fusion bidirectional uye inodzidza huremu hwekuti kunesimba kwega kwega kunopa sei.
Ramba uchidzidza
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