UMHLAHLANDLELA Wobuchwepheshe

I-Dilated and Atrous Convolutions

Ama-convolutions anwetshiwe (okubizwa nangokuthi ama-atrous convolutions) afaka izikhala phakathi kwezisindo zokuhlunga ukuze uhlamvu lumboze indawo enkulu ngaphandle kokwengeza imingcele.

Uhlolojikelele

Ama-convolutions anwetshiwe (okubizwa nangokuthi ama-atrous convolutions) afaka izikhala phakathi kwezisindo zokuhlunga ukuze uhlamvu lumboze indawo enkulu ngaphandle kokwengeza imingcele. Bavumela amanethiwekhi ukuthi abone okuqukethwe okubanzi, okubalulekile ekuhlukaniseni nomsindo, kuyilapho egcina ukulungiswa kungashintshi.

I-Dilated and Atrous Convolutions iyibhulokhi yokwakha yobuchwepheshe ethinta ikhwalithi yemodeli, izindleko zengqalasizinda, ukubambezeleka, nokuthembeka esikalini.

I-Deep Dive

I-kernel ye-convolution evamile ithinta amaphikseli aseduze. I-convolution enwetshiwe isakaza izisindo ze-kernel ezifanayo ngokuhlukana kwesilinganiso sokweqa, yeqa amaphikseli phakathi, ngakho-ke i-3x3 kernel ene-dilation 2 ihlanganisa isifunda esingu-5x5 kuyilapho isebenzisa izisindo ezingu-9 kuphela. Lokhu kunweba inkambu yokwamukela ngokushesha lapho unqwabelanisa izendlalelo ngezilinganiso ezikhulayo, okuvumela inethiwekhi ihlanganise umongo wesilinganiso esikhulu ngaphandle kokuhlanganisa noma ukudonsa okunganciphisa isici semephu. Igama elithi atrous livela kwelesiFulentshi elithi trous, okusho ukuthi elinezimbobo. Lokhu kubaluleke kakhulu emisebenzini yokuqagela okuminyene njengokuhlukaniswa kwe-semantic, lapho udinga khona kokubili ukubuka okubanzi nokuphumayo okunembe nge-pixel, kanye naku-WaveNet ukuze ufanekisele ukuncika komsindo okude.

I-Technical Insight

Ukupakisha ama-convolutions anwetshiwe ngamanani angu-1, 2, 4, 8 kukhulisa inkambu yokwamukela njengamandla amabili kuyilapho isibalo sepharamitha sihlala singashintshi. I-Atrous Spatial Pyramid Pooling (ASPP) ku-DeepLab isebenzisa izilinganiso zokunweba ezimbalwa ngokuhambisana futhi iwahlanganise, ithwebule izinto ngezikali eziningi ngephasi eyodwa. Izinga elilodwa elingenalwazi lingabangela ama-artifact egriding, ngakho amanani akhethwa ngokucophelela ukuze kugcinwe ukumbozwa kuminyene.

I-Mastering Dilated and Atrous Convolutions

Ama-convolutions anwetshiwe (okubizwa nangokuthi ama-atrous convolutions) afaka izikhala phakathi kwezisindo zokuhlunga ukuze uhlamvu lumboze indawo enkulu ngaphandle kokwengeza imingcele. Bavumela amanethiwekhi ukuthi abone okuqukethwe okubanzi, okubalulekile ekuhlukaniseni nomsindo, kuyilapho egcina ukulungiswa kungashintshi. I-Dilated and Atrous Convolutions iyibhulokhi yokwakha yobuchwepheshe ethinta ikhwalithi yemodeli, izindleko zengqalasizinda, ukubambezeleka, nokuthembeka esikalini. Ukuze wakhe ukuqonda okujulile, phatha i-Dilated and Atrous Convolutions njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.

Empeleni, amaqembu aqinile asebenzisa i-Dilated and Atrous Convolutions athuthukisa ukukhetha kwezakhiwo, idatha, kanye nengqalasizinda ngokumelene nokuthembeka nezindleko. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.

Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka. Ngesikhathi esifanayo, Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.

I-Strategic Impact

Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.

Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.

Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.

Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Ikusasa Lokuguquguquka Okunwebekayo Nokunolaka

Ukuguquguquka okunwetshiwe kuhlala kumaphakathi nesegmentation ye-semantic ne-panoptic, imaging yezokwelapha, nokwenziwa komsindo. Ziya ngokuya zihlanganiswa nokunakwa, lapho ukunwetshwa kunikeza izinkambu ezishibhile ezithatha ibanga elide ezihambisana nokuzinaka. Ucwaningo luyaqhubeka mayelana namazinga okukhulisa aguquguqukayo futhi afundekayo kanye nokugwema ama-artifact egriding. Zilindele kumamodeli alandelanayo asebenzayo kanye nokuqonda kwesigcawu sesikhathi sangempela kumasistimu azimele.

Ukuqaliswa Komhlaba Wangempela

I-DeepLab isebenzisa i-atrous convolutions kanye ne-ASPP ukuze kuhlukaniswe izingxenye ezisezingeni eliphezulu zezigcawu zasemgwaqweni.

Izitaki ze-WaveNet zinwebe i-causal convolutions ukuze zenze umsindo ongahluziwe wangempela nenkulumo

Ukuhlukaniswa kwesithombe sezokwelapha, njengemingcele yesimila noma yesitho, lapho umongo obanzi kanye nemininingwane emihle kokubili kubalulekile

Isigcawu sesikhathi sangempela sokuhlaziya ukuze uthole umbono wokuzishayela odinga izinkambu ezinkulu zokwamukela ngaphandle kokulahlekelwa ukulungiswa

Amaphethini Okusebenzisa

I-Dilated and Atrous Convolutions ekusebenzeni

I-DeepLab isebenzisa i-atrous convolutions kanye ne-ASPP ukuze uthole ukuhlukaniswa kwesemantic kwesimanje kwezigcawu zomgwaqo.

I-DeepLab isebenzisa ukuguquguquka okumangalisayo kanye ne-ASPP ekuhlukaniseni kwesimanjemanje kwe-semantic yezigcawu zasemgwaqweni Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka kwabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-Dilated and Atrous Convolutions ekusebenzeni

Izitaki ze-WaveNet zinwebe i-causal convolutions ukuze zenze umsindo ongahluziwe wangempela nenkulumo.

Izitaki ze-WaveNet ezinwetshiwe ze-causal convolutions ukuze zikhiqize amathimba womsindo nenkulumo angavuthiwe ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi elandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-Dilated and Atrous Convolutions ekusebenzeni

Ukuhlukaniswa kwesithombe sezokwelapha, njengemingcele yesimila noma yesitho, lapho umongo obanzi kanye nemininingwane emihle kokubili kubalulekile.

Ukuhlukaniswa kwesithombe sezokwelapha, njengesimila noma imingcele yesitho, lapho umongo obanzi kanye nemininingwane emihle yomibili ibalulekile Amathimba ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, agcina indlela yokukhuphuka kwabantu yezigameko ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-Dilated and Atrous Convolutions ekusebenzeni

Isigcawu sesikhathi sangempela sokuhlaziya ukuze uthole umbono wokuzishayela odinga izinkambu ezinkulu zokwamukela ngaphandle kokulahlekelwa ukulungiswa.

Ukucutshungulwa kwesigcawu sesikhathi sangempela sombono ozishayelayo odinga izinkambu ezinkulu zokwamukela ngaphandle kokulahlekelwa ukuxazulula Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

Izingozi & Guardrails

!

Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu.

!

Izindleko zengqalasizinda nezokulungisa zivame ukubukelwa phansi.

!

Izikhala zokuphepha nokubonakala zingakhula njengoba izinhlelo ziba nzima kakhulu.

Ukuqalisa Umhlahlandlela

1

Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa.

Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

2

Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.

Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

3

Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.

Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

4

Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.

Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

Qhubeka Uhlole