Overview
Dilated convolutions (inonziwo atrous convolutions) isa maburi pakati pezviremu zvemasefa kuitira kuti kernel ivhare nzvimbo yakakura pasina kuwedzera paramita. Ivo vanoita kuti network ione yakafara mamiriro, akakosha kune segmentation uye odhiyo, uku ichichengeta kugadzirisa.
Dilated uye Atrous Convolutions chivakwa chehunyanzvi chinobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero.
Deep Dive
Yakajairika convolution kernel inobata mapixels ari padyo. A dilated convolution inoparadzira huremu hwakafanana hwekernel nechiyero chekuwedzera, kusvetuka pixels pakati, saka 3x3 kernel ine dilation 2 inotenderera 5x5 dunhu ichiri kushandisa 9 huremu chete. Izvi zvinokurisa nzvimbo yekugamuchira zvakanyanya kana ukarongedza maseru nemitengo inowedzera, zvichiita kuti inetiweki iunganidze hukuru-hukuru pasina kubatana kana nhanho izvo zvinoderedza chimiro chemepu. Izwi rokuti atrous rinobva kuFrench trous, zvichireva kuti ane maburi. Izvi zvakakosha mumabasa akaomesesa ekufanotaura senge semantic segmentation, kwaunoda ese maonero akakura uye pixel-chaiyo kubuda, uye muWaveNet yekuenzanisira kureba kwekuteerera.
Technical Insight
Kurongedza maconvolutions akadzikiswa ane mareti 1, 2, 4, 8 inokura nzvimbo inogashira sesimba remaviri apo parameter count inogara yakagadziriswa. Atrous Spatial Pyramid Pooling (ASPP) muDeepLab inomhanyisa akati wandei ekuwedzera mazinga akafanana uye anoasanganisa, achitora zvinhu pazvikero zvakawanda mune imwe pass. A naive single rate inogona kukonzera gridding artifacts, saka mareti anosarudzwa nekungwarira kuchengetedza kufukidzwa kwakaoma.
Mastering Dilated uye Atrous Convolutions
Dilated convolutions (inonziwo atrous convolutions) isa maburi pakati pezviremu zvemasefa kuitira kuti kernel ivhare nzvimbo yakakura pasina kuwedzera paramita. Ivo vanoita kuti network ione yakafara mamiriro, akakosha kune segmentation uye odhiyo, uku ichichengeta kugadzirisa. Dilated uye Atrous Convolutions chivakwa chehunyanzvi chinobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero. Kuvaka kunzwisisa kwakadzama, tora Dilated uye Atrous Convolutions 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 Dilated uye Atrous Convolutions inogonesa 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
DeepLab inoshandisa atrous convolutions uye ASPP yemamiriro-of-the-art semantic segmentation yezvinoitika mumigwagwa.
WaveNet stacks yakawedzera causal convolutions kuti ibudise echokwadi yakasvibira odhiyo uye kutaura
Segmentation yemifananidzo yezvokurapa, senge bundu kana miganhu yenhengo, uko kwakatambanuka pamwe neruzivo rwakanaka zvese zvine basa
Real-time parsing yekuzvifambisa-kutyaira iyo inoda minda yakakura yekugamuchira pasina kurasikirwa nekugadziriswa
Maitiro Ekuita
Dilated uye Atrous Convolutions mukuita
DeepLab inoshandisa atrous convolutions uye ASPP yemamiriro-of-the-art semantic segmentation yezviono zvemumugwagwa.
DeepLab inoshandisa atrous convolutions uye ASPP yestate-of-the-art semantic segmentation yezviratidziro zvemumugwagwa Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Dilated uye Atrous Convolutions mukuita
WaveNet stacks yakawedzera causal convolutions kuti ibudise echokwadi yakasvibira odhiyo uye kutaura.
WaveNet akaturikidzana akakwenenzverwa causal convolutions kuti abudise echokwadi mbishi odhiyo uye matauriro 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.
Dilated uye Atrous Convolutions mukuita
Segmentation yemifananidzo yezvokurapa, senge bundu kana miganhu yenhengo, uko kwakatambanuka pamwe neruzivo rwakanaka zvese zvine basa.
Kupatsanurwa kwemifananidzo yekurapa, senge bundu kana miganhu yenhengo, uko kwakatambanuka pamwe neruzivo rwakanaka zvese zviri zviviri Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Dilated uye Atrous Convolutions mukuita
Real-time parsing yekuzvifambisa-kutyaira iyo inoda minda yakakura yekugamuchira pasina kurasikirwa nekugadziriswa.
Real-time parsing yekuona yekuzvityaira iyo inoda minda yakakura yekugamuchira pasina kurasikirwa nekugadziriswa Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa 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.