Amabwiriza ya AI

CNNs ishingiye ku karere

CNNs ishingiye ku karere (R-CNNs) ni umuryango wibikoresho byerekana mbere na mbere uturere tw’abakandida ku ishusho, hanyuma ukoreshe CNN kugirango ushyire mu byiciro kandi utondekanye neza buri kintu.

2 min somaIbiherutse kuvugururwa

Incamake

They turned image classification into full object detection, locating and labeling many objects at once.

Kwibira cyane

Image classification answers 'what is in this picture?' but detection must also answer 'where, and how many?' Umwimerere R-CNN (2014) wakoresheje algorithm yo hanze (Shakisha Guhitamo) kugirango utange uturere tugera ku 2000, uhinduranya buriwese mubunini bwagenwe, kandi ukoresha CNN kuri buri gace, byari byukuri ariko bitinda kubabaza. Fast R-CNN sped this up by running the CNN once over the whole image and pooling features per region (RoI pooling). Byihuta R-CNN yahise isimbuza Gushakisha Byatoranijwe hamwe nUrubuga rwize rwo Kwamamaza (RPN), bituma umuyoboro wose urangira-urangiye kandi hafi yigihe-nyacyo. Mask R-CNN extended it further to output pixel-level masks for each detected object.

Ubushishozi

Urufunguzo rwibanze rusimbuka ni RoI guhuriza hamwe: aho kongera gukoresha CNN kuri buri gasanduku kateganijwe, umuyoboro ubara ikarita imwe isanganywe ishusho, hanyuma ibihingwa kandi bigahindura ibintu biri muri buri karere gashishikajwe na gride ihamye. RPN yihuta ya RPN iranyerera hejuru yikarita iranga amanota yerekana 'ibintu' hamwe nudusanduku twahinduwe kugirango dushyireho udusanduku twa ankeri zingana nubunini butandukanye, bitanga ibyifuzo kubusa.

Ingaruka z'Ingamba

Umuvuduko n'igipimo

AI igaragara irashobora gukora igenzura, gutahura, no gutondekanya imirimo kurwego.

Build choices

Amakipe arema arashobora prototype ibitekerezo byihuse hamwe nintoki nkeya.

Itsinda hamwe nakazi

Ibikorwa birashobora gukoresha amashusho nibimenyetso bya videwo byari bigoye gutunganya.

Ejo hazaza h’akarere ka CNN

Ibyiciro bibiri bya R-CNN bikomeza gukomera aho ubunyangamugayo bufite akamaro kanini, ariko ibyuma byerekana icyiciro kimwe (YOLO, SSD) hamwe na disiketi ishingiye kuri Transformer nka DETR, isimbuka ibyuma byateguwe n'intoki hamwe nibyifuzo byuzuye, bigenda byamamara kubwihuta kandi bworoshye. The trend is toward end-to-end, anchor-free, query-based detection. Biracyaza, ibitekerezo byibanze bya R-CNN, ibitekerezo bisangiwe hamwe nibitekerezo byo kurwego rwakarere, bikomeje guhindura ibice, videwo, na sisitemu yo kumenya 3D.

Gushyira mu bikorwa Isi

Gutahura no kubara ibicuruzwa kumasoko yo kugurisha kububiko

Gutandukanya ingirabuzimafatizo cyangwa ingingo muri scan yubuvuzi ukoresheje Mask R-CNN

Kumenya inenge n'aho biherereye kumurongo wo gukora uruganda

Kubona ibinyabiziga byinshi nabanyamaguru muri kamera yigenga yigenga

Ingaruka & Kurinda

Uburenganzira bwishusho hamwe no kwemererwa birashobora guhinduka ibyago byemewe n'amategeko niba ibimenyetso bidasobanutse.

Imikorere yicyitegererezo irashobora gutandukana kumurika, demografiya, nibidukikije.

Ibyiza byibinyoma birashobora kutamenyekana keretse niba ibyiringiro byateganijwe bikurikiranwa.

Igishushanyo mbonera

1

Sobanura ibipimo byo kwemererwa kugiciro, kwibutsa, nibiciro byamakosa.

2

Gerageza hamwe namakuru ajyanye nuburyo nyabwo bwo gukora.

3

Ongeraho isubiramo ryabantu kubwizere buke cyangwa guhanura cyane.

4

Kurikirana icyitegererezo cya drift hanyuma uhindurwe nyuma ya kamera cyangwa dataset ihinduka.

Komeza Ubushakashatsi

Free newsletter

Get the daily AI briefing

Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.

One email each weekday. Unsubscribe in one click. We never sell or share your address.

Test yourself

Take the Region-Based CNNs quiz

Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.

Tangira ikibazo

Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation

Ubuyobozi bukurikira

Amanota-ashingiye kubikorwa rusange

Ibibazo bikunze kubazwa

What is Region-Based CNNs?

CNNs ishingiye ku karere (R-CNNs) ni umuryango wibikoresho byerekana mbere na mbere uturere tw’abakandida ku ishusho, hanyuma ukoreshe CNN kugirango ushyire mu byiciro kandi utondekanye neza buri kintu. They turned image classification into full object detection, locating and labeling many objects at once.

Niki gitekerezo cyibanze cya CNN ishingiye mukarere?

R-CNNs itanga uturere dushobora kuba turimo ibintu, hanyuma ukoreshe CNN kugirango utondekanye buri karere kandi utunganyirize agasanduku kayo.

Kuki R-CNN y'umwimerere (2014) yatinze?

Umwimerere R-CNN yayoboraga CNN yigenga ku byifuzo by'uturere bigera ku 2000 kuri buri shusho, byari bihenze cyane kubara.

Niki Byihuse R-CNN yazanye kugirango isimbuze Ishakisha ryatoranijwe?

Byihuta R-CNN yashyizeho Umuyoboro wizewe wo mukarere, bituma ibyifuzo bitanga igice cyumuyoboro uhugura kandi byihuse.

Guhuza RoI gukora iki?

Igiteranyo cya RoI gikuramo ubunini bugaragara bwa gride kuva ikarita imwe isangiwe ikarita kuri buri karere, wirinda kubara no kwihutisha gutahura.

Ni ubuhe bushobozi bw'inyongera Mask R-CNN yongeraho?

Mask R-CNN yagura Byihuta R-CNN mu guhanura neza mask ya urwego rwa pigiseli kuri buri kintu, ituma urugero rutandukana.