Overview
Squeeze-and-Excitation (SE) inovharira ita kuti convolutional network idzidze huwandu hwekuremedza chimwe nechimwe chiteshi, ichichidzokorora zvichienderana nemamiriro epasirese. Iyi yakachipa yekutarisisa-senge michina yakahwina mukwikwidzi we2017 ImageNet uye yakava yakajairwa CNN chivakwa chekuvaka.
Squeeze-and-Excitation Networks inyanzvi yekuvaka inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero.
Deep Dive
Yakaunzwa naHu, Shen, uye Zuva muna 2017, iyo SE block inowedzera yakajeka chiteshi kutarisa kune CNN. Inoshanda mumatanho maviri. Iyo 'kusvina' inoshandisa avhareji yepasi rose kuunganidza kuputsa imwe neimwe mepu (urefu x hupamhi) kuita nhamba imwe chete, ichigadzira imwe tsananguro pachiteshi inopfupikisa kuita kwayo kwepasi rose. Iyo 'excitation' inodyisa iyo vector kuburikidza nezvikamu zviviri zvidiki zvakabatanidzwa zvizere nebhodhoro (a ReLU ipapo sigmoid) kugadzira uremu hwepa-channel pakati pe 0 ne 1. Izvo zviremu zvinowedzera mamepu ekutanga mamepu, kukudza nzira dzinobatsira uye kunyorova zvisina basa. SENet yakahwina ILSVRC 2017 classification dambudziko, ichicheka pamusoro-5 kukanganisa kusvika pa2.25%. Iyo block inowedzera mashoma muzana ekuwedzera paramita uye compute, uye inotsvedza muResNet, Inception, kana MobileNet ine shanduko shoma.
Technical Insight
Kusvinwa kunoburitsa C-kureba vector z uko z_c ndiyo avhareji yenzvimbo yechanero c. Excitation computes s = sigmoid(W2 * ReLU(W1 * z)), apo W1 inoderedza dimension nereshiyo yekuderedza r (kazhinji 16) uye W2 inoidzorera, ichichengeta mutengo wakawedzerwa uri mudiki. Iyo inobuda ndiyo yekuisa mepu yakayerwa chiteshi-hungwaru nes. Iyo imhando yekuzvigadzika: network inosarudza, kubva kuhuwandu hwepasirese, iyo chiteshi chakakosha kune iyi chaiyo yekuisa.
Kugona Kusvina-uye-Kufadza Networks
Squeeze-and-Excitation (SE) inovharira ita kuti convolutional network idzidze huwandu hwekuremedza chimwe nechimwe chiteshi, ichichidzokorora zvichienderana nemamiriro epasirese. Iyi yakachipa yekutarisisa-senge michina yakahwina mukwikwidzi we2017 ImageNet uye yakava yakajairwa CNN chivakwa chekuvaka. Squeeze-and-Excitation Networks inyanzvi yekuvaka inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero. Kuti uvake kunzwisisa kwakadzama, tora Squeeze-and-Excitation Networks semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo system inogona kuita nekuvimbika kubva kune ichiri kuda kutonga nyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Squeeze-and-Excitation Networks zvinogonesa zvivakwa, data, uye sarudzo dzezvivakwa zvinopesana nekuvimbika uye mutengo. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore. Panguva imwecheteyo, Kukwirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
SENet yakahwina iyo ImageNet ILSVRC 2017 classification dambudziko nekuwedzera SE blocks kune ResNeXt musana.
EfficientNet uye MobileNetV3 embed SE modules mune yega yega kuti iwedzere huroyi panharembozha
Zvinhu zvinoongorora uye zvikamu zvezvikamu zvinoisa SE zvidhinha kusimbisa inodzidzisa maficha
ECA-Net neCBAM inowedzera iyo SE pfungwa neyakachipa kana spatially-inoziva chiteshi kudzokorora.
Maitiro Ekuita
Kusvina-uye-Kunakidzwa Networks mukuita
SENet yakahwina iyo ImageNet ILSVRC 2017 classification dambudziko nekuwedzera SE blocks kumusana weResNeXt.
SENet yakahwina iyo ImageNet ILSVRC 2017 kupatsanura dambudziko nekuwedzera SE zvivharo kuResNeXt musana Zvikwata zvinowanzowana zvibodzwa zviri nani pazvinenge zvichitsanangudza zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Kusvina-uye-Kunakidzwa Networks mukuita
EfficientNet uye MobileNetV3 embed SE modules mune yega yega kuti iwedzere huroyi panharembozha.
EfficientNet uye MobileNetV3 embed SE modules mune yega yega kuti ikwidziridze huchokwadi panharembozha Matimu anowanzo kuwana mhedzisiro kana atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Kusvina-uye-Kunakidzwa Networks mukuita
Zvinhu zvinoongorora uye zvikamu zvezvikamu zvinoisa SE zvidhinha kusimbisa inodzidzisa maficha.
Zvinhu zvinoona uye zvikamu zvemhando zvinoisa SE zvidhinha kusimbisa zvinodzidzisa maficha Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Kusvina-uye-Kunakidzwa Networks mukuita
ECA-Net neCBAM inowedzera iyo SE pfungwa neyakachipa kana spatially-inoziva chiteshi kudzokorora.
ECA-Net neCBAM inowedzera iyo pfungwa yeSE neyakachipa kana nzvimbo-inoziva chiteshi chekudzokorora Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
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.
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Benchmark pasi pechokwadi mutoro uye data mamiriro.
Benchmark pasi pechokwadi mutoro uye data mamiriro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.