Résumé
Convolution yu yaatu (ñu koy woowe itam convolution atrous) dañuy dugal ay bërëb ci diggante diisaayu filtre yi suko defee kernel bi mëna muur barab bu gëna yaatu te du yokk ay parametre. Dañuy may reso yi ñu gis contexte bu yaatu, lu am solo ci segmentation ak audio, boole ci baña yàq dayo bi.
Dilated ak Atrous Convolutions ab bloku tabax la bu am njeexital ci kalite model bi, njëgu infrastructure bi, yeexal bi, ak wóor ci escalier bi.
Plongeur bu xóot
Kernel bu jaar yoon dafay laal pixel yi ci wetam. Benn convolution bu yaatu dafay tasaare benn poid kernel bi ci dilatation bi, di salte pixel yi ci digg bi, kon kernel 3x3 ak dilatation 2 dafay yaatu ci gox bu 5x5 te ba leegi mingi jëfandikoo 9 poid kese. Loolu dafay yaatal barabu jot gi exponentiellement soo stack ay couche ak taux yuy yokk, may reso bi mu agrégate ci contexte bu yaatu te du pooling wala striding luy wàññi kàrtu man-man bi. Tur atrous mingi cosaanoo ci français a trous, muy tekki ay pax. Loolu amul benn njariñ ci liggéey yu dëgër yu melni segmentation semantik, fu nga soxla gis-gis bu yaatu ak génne pixel bu leer, ak ci WaveNet ngir modele dependency audio yu gudd.
Gis-gis xarala
Dajale ay convolution yu yaatu ak tolluwaayu 1, 2, 4, 8 dafay màgg barab biy jot ni dooley ñaar ci jamono ji lim parametre bi nekk fimu nekk. Atrous Spatial Piramid Pooling (ASPP) ci DeepLab dafay doxal ay xeetu dilatation yu bari ci paralel ba noppi boole leen, jàpp mbir ci eskaal yu bari ci benn yoon. Benn njëg bu naïf mën na waral ay artefakt griy, kon dañuy tànnee njëg yi bu baax ngir tëye coverage bi.
xam konvolusioŋ dilaté ak atrous
Convolution yu yaatu (ñu koy woowe itam convolution atrous) dañuy dugal ay bërëb ci diggante diisaayu filtre yi suko defee kernel bi mëna muur barab bu gëna yaatu te du yokk ay parametre. Dañuy may reso yi ñu gis contexte bu yaatu, lu am solo ci segmentation ak audio, boole ci baña yàq dayo bi. Dilated ak Atrous Convolutions ab bloku tabax la bu am njeexital ci kalite model bi, njëgu infrastructure bi, yeexal bi, ak wóor ci escalier bi. Ngir tabax xam-xam bu xóot, jëfandikoo Dilated ak Atrous Convolutions ni xeetu liggéey, du benn man-man: leeral njariñ yi nga bëgg, leeral xalaat yi, ak tàqale li sistem bi mëna def ci anam wu wóor ak li ba leegi soxla àtteb kàngam.
Ci jëf, ekip yu am doole yiy jëfandikoo Convolutions Dilated ak Atrous dañuy gëna baaxal architecture, done, ak tànneefi infrastructure ci wàllu wóor ak njëg. Dañuy bind kritër yu leer ngir am ndam, natt leen ci done yu dëggu ak def liggéey, ba noppi ñu baamtu ci anamu ñàkka mëna seetlu, du ci benn yoon benchmark wins. Mooy barab bi xam-xam theorie bi di soppiku nekk kàttan buy yàgg ci produit yi, ci politik yi ak ci liggéey yi.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jamano jooju, Optimisation benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi. Xeetu jëf bi gëna dëgër mooy boole gaawaayu jàngat ak disipline nguur: doxal pilote, jàpp firnde, siiwal dogal yi, ak wéy di yeesal kaaraange gi ci anam wi ñuy doxalee, li jëfandikukat bi di xaar, ak sàrti sàrt yi di jëm kanam.
njeextalu pexe
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Doxal ci àdduna dëgg
DeepLab dafay jëfandikoo convolution atrous ak ASPP ngir xaaj semantik bu bees bi ci seen mbedd
WaveNet dafay boole ay convolusioŋ yu yaatu ngir génne ay audio ak kàddu yu dëggu
Taxawaayu nataalu pajum, lu melni tumër wala cër, fu contexte bu yaatu ak ay detay yu ndaw ñoom ñaar am solo
Parsing seen ci jamono dëgg ngir gis-gis biy dawal boppam, te soxla barab yu yaatu yuy jot te du ñàkk dayo
Modèlu jëfandikoo
Konvolusioŋ yu yaatu ak yu Atrous ci jëf
DeepLab dafay jëfandikoo convolution atrous ak ASPP ngir xaaj semantik bu bees bi ci seen mbedd.
DeepLab dafay jëfandikoo convolutions atrous ak ASPP ngir segmentation semantique bu bees ci seen mbedd. Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Konvolusioŋ yu yaatu ak yu Atrous ci jëf
WaveNet dafay boole ay convolusioŋ causal yu yaatu ngir génne audio ak kàddu yu dëggu.
WaveNet dafay jël convolutions causal yu yaatu ngir génne ay audio ak wax yu dëggu. Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee ay threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Konvolusioŋ yu yaatu ak yu Atrous ci jëf
Segmentaasioŋu nataalu pajum, lu melni tumër wala cër, muy barab bu yaatu ak ay detay yu ndaw ñoom ñaar am solo.
Segmentation nataalu pajum, lu melni tumër wala cër, fu contexte bu yaatu ak ay detay yu rafet ñaari mbir yi Teams yi dañuy faral di am njariñ yu gëna baax suñu leeralee threshold yu kalite ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Konvolusioŋ yu yaatu ak yu Atrous ci jëf
Parsing seen ci jamono dëgg ngir gis-gis biy dawal boppam te soxla barab yu yaatu yuy jot te du ñàkk resolusioŋ.
Real-time scene parsing ngir xam-xam dawal sa bopp bi soxla ay barab yu yaatu te du ñàkk resolusioŋ. Ekip yi dañuy faral di am njariñ yu gëna baax suñu leeralee threshold yu kalite ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Risk yi ak balustrade yi
Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.
Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.
Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.
Roadmap ngir samp gi
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Benchmark ci biir sargal ak done yu dëggu.
Benchmark ci biir sargal ak done yu dëggu. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.