Depthwise Separable Convolutions
Zvakadzika zvakapatsanurika convolutions zvinokonzeresa kuchinjika kuita nhanho mbiri dzakachipa, kucheka huwandu hwekuwanda uye paramita.
Pfupiso
They are the trick that lets neural networks run on phones and edge devices without melting the battery.
Kudzika Kwakadzika
Iyo yakajairwa convolution inosanganisa ruzivo munzvimbo yese uye machaneli mune imwechete dense oparesheni, inodhura. Kudzika kwakapatsanurika convolution inokamura izvi kuita nhanho mbiri. Chekutanga, nhanho yakadzika nhanho inoshandisa imwe diki sefa pane yekuisa chiteshi zvakazvimiririra, inotora spatial mapatani mukati mega ega chiteshi asi isingambosanganisi machiteshi. Chechipiri, nhanho yakananga inoshandisa 1x1 convolution kusanganisa zviteshi pane yega pixel, kusanganisa ruzivo rwechiteshi pasina kutarisa vavakidzani. Nekudzoreredza kusefa kwenzvimbo kubva mukusanganiswa kwechiteshi, iyo compute yakazara inodonha zvakanyanya, kazhinji ne8 kusvika ku9 nguva kune 3x3 sefa, nekungorasika kushoma chaiko. Iyi factorization ndiyo musana weMobileNet uye Xception.
Technical Insight
Kune 3x3 kernel mepu yeM yekupinza nzira kune N zvinobuda pamusoro pemepu yechinhu, yakajairwa convolution inodhura zvinokwana ka9 M nguva N kuwedzera-inowedzera panzvimbo. Iyo yakapatsanurwa vhezheni inodhura 9 times M kune yakadzama chikamu pamwe neM nguva N kweiyo pointwise 1x1. Reshiyo inosvika 1/N + 1/9, saka kune hombe N iyo savings inosvika pa1/9 spatial factor.
Strategic Impact
Mutengo uye bhajeti
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
Sarudzo dzakajeka
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
Kudzora kwemhando yepamusoro
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Ramangwana Rezvakadzama Separable Convolutions
Zvakadzika zvakapatsanurika convolutions inoramba iri mbavarira yemamodhi anobudirira ekuona uye inowedzera kuoneka muhybrid CNN-transformer dhizaini senge MobileViT uye ConvNeXt zvidhinha. Sezvo pane-mudziyo AI inokura, hardware accelerators iri kuwedzera tsigiro yemunharaunda kune zvakadzama ops. Tarisira kuenderera mberi kwekushandiswa mukuona-chaiyo-nguva, ma sensors anopfekeka, uye chero marongero apo latency, ndangariro, uye simba bhajeti dzakasimba, kazhinji dzakasanganiswa nequantization uye neural architecture yekutsvaga.
Real-World Implementation
MobileNet uye MobileNetV2 vanoishandisa kumhanyisa mufananidzo kupatsanura zvakananga pamafoni ane mashoma latency
Real-time portrait segmentation uye kusviba kwemashure mumavhidhiyo ekufona maapplication anovimba neakareruka anopatsanurika musana
Pa-mudziyo kuona chinhu mumakamera ekuchengetedza uye drones, uko simba uye komputa zvinogumira
Xception inovashandisa pachiyero kusundidzira ImageNet kurongeka uku uchidzora parameter kuverenga
Njodzi & Guardrails
Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.
Implementation Roadmap
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
Benchmark pasi pechokwadi mutoro uye data mamiriro.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Ramba Uchiongorora
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Gaidhi rinotevera
Deformable Convolutions
Mibvunzo inowanzo bvunzwa
What is Depthwise Separable Convolutions?
Zvakadzika zvakapatsanurika convolutions zvinokonzeresa kuchinjika kuita nhanho mbiri dzakachipa, kucheka huwandu hwekuwanda uye paramita. Ndiwo hunyengeri hunobvumira neural network kumhanya pamafoni uye edge zvishandiso pasina kunyungudutsa bhatiri.
Ndedzipi nhanho mbiri idzo kudzika kwakapatsanurwa convolution inopatsanura mwero convolution kuita?
Iyo yakadzika nhanho inosefa chiteshi chega chega munzvimbo pachayo, uye iyo pointwise 1x1 nhanho inobva yasanganisa ruzivo mumatanho.
Mudanho rakadzama, nzira dzekupinza dzinobatwa sei?
Depthwise convolution inoshandisa yakaparadzana spatial sefa kune yega yega yekuisa chiteshi pasina kusanganisa machani, izvo ndizvo zvinoita kuti zvichipe.
Zvingangove zvakadii 3x3 yakadzika yakapatsanurika convolution inogona kuderedza computation kana ichienzaniswa neyakajairwa 3x3 convolution ine akawanda ekubuda machaneli?
Kune 3x3 kernel iyo saving ratio inosvika 1/9 apo huwandu hwemachaneli ekubuda hwakakura, zvichipa 8 kusvika ka9 kane mashoma maoperation.
Ndeipi basa reiyo pointwise (1x1) convolution mukugadzira uku?
Iyo 1x1 pointwise convolution inosanganisa chiteshi papixel yega yega, iyo yakadzama nhanho yakadzivirira kuita nemaune.
Ndechipi chivakwa chinozivikanwa chakakurumbira zvakadzika zvakapatsanurika convolutions kune nharembozha?
MobileNet yakavakirwa zvakatenderedza zvakadzika zvakapatsanurwa convolutions zvakananga kuti igone kugonesa kufungidzira pamafoni.