Gwara reVisual AI

Kupindurwa kwemibvunzo yekuona

Visual Question Answering (VQA) inoita kuti hurongwa hupindure mibvunzo yakasununguka-yemutauro wechisikigo pamusoro pemufananidzo, sekuti 'Vanhu vangani vakapfeka ngowani?' Zvinoda kunzwisisa pamwe chete zvose mufananidzo uye mubvunzo kuti ubudise mhinduro yakarurama.

Teerera kugwaro iriAI-yakarondedzerwa · ~2 min

Pa peji ino2 min verenga
  1. Kudzika Kwakadzika
  2. Kuitwa muNyika yeChokwadi
  3. Ramangwana Rekupindurwa Kwemubvunzo
  4. Kuzvishandisa
  5. Ramba Uchiongorora
  6. Mibvunzo inowanzo bvunzwa

Kudzika Kwakadzika

Kupindurwa kwemubvunzo wekuona kunobatanidza kuona komputa uye kugadzirisa mutauro wechisikigo: wakapihwa mufananidzo nemubvunzo, modhi inodzosa mhinduro, ringave izwi rimwechete, mutsara mupfupi, kana hongu/kwete mhinduro. Basa racho rakafarirwa neVQA dhataset (Antol et al., 2015) uye yakakwenenzverwa VQA v2.0 vhezheni, iyo yakadzikama mhinduro yekuodza moyo mamodheru kubva mukufungidzira kubva pane zvinyorwa chete. Masisitimu anokodha mufananidzo nemubvunzo, sanganisa iwo maviri anomiririra, uye wozofanotaura mhinduro, nhoroondo nekuisa pamusoro peyakagadziriswa mhinduro mazwi. Nhasi, mienzaniso mikuru yemutauro wechiratidzo seGPT-4V, LLaVA, uye PaLI inobata VQA yakavhurika, kufunga nezvezvinhu, hunhu, kuverenga, hukama hwenzvimbo, uye kunyange zvinyorwa zvakanyorwa mukati memifananidzo.

Kuitwa muNyika yeChokwadi

Kurega vashandisi vasingaoni vachitora chigadzirwa vobvunza kuti 'Chii chinonaka ichi?' kana kuti 'Nguva ipi inopera?'

Kupindura mibvunzo nezve machati, mafomu, uye magwaro akaongororwa (gwaro VQA) mune bhizinesi workflows

Kusimbisa zvitoro uye e-commerce vabatsiri vanopindura kuti 'Iri bhachi rine hood here?' kubva pamufananidzo wechigadzirwa

Kutsigira ongororo yemifananidzo yezvekurapa kana yesainzi nekupindura mibvunzo yakanangwa nezve ma scan kana mapikicha emicroscope

Ramangwana Rekupindurwa Kwemubvunzo

VQA iri kusimuka kubva kupfupi-mhinduro kurongedza kuenda kune yakavhurika-yakapera, yakawanda-nhanho yekuona kufunga ine tsananguro. Tarisira kubata kwakasimba kwekuverenga, machati, dhayagiramu, uye zvinyorwa-mu-mufananidzo (gwaro VQA), pamwe nevhidhiyo VQA inokonzeresa nekufamba kwenguva. Kudzikisira mapfupi kurerekera uye kufungidzira kunoramba kuri chinhu chakakosha, sezvinoita mhinduro dzepasi munzvimbo dzakatarwa dzemifananidzo yekuvimba. Vanokwanisa multimodal vabatsiri vanozowedzera kupindura mibvunzo yekuona nekukurukurirana pamafoni, mumarobhoti, uye mumaturusi ekuwanika anobatsira vashandisi kubvunzurudza zvakavakomberedza.

Kuzvishandisa

Nei zvichikosha

  • Kumhanya uye chiyero. Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero.
  • Vaka sarudzo. Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma.
  • Team uye workflow. Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa.

Chenjera

  • Kodzero dzemifananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana provenance isina kujeka.
  • Kuita kwemuenzaniso kunogona kusiyanisa kupenya, huwandu hwevanhu, uye nharaunda.
  • Manyepo enhema anogona kusacherechedzwa kunze kwekunge zvikumbaridzo zvekuvimba zvikatariswa.

Matanho anotevera

  1. Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.
  2. Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.
  3. Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.
  4. Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.

Ramba Uchiongorora

Tsamba yemahara

Tora iyo yemazuva ese AI pfupiso

Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.

Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.

Zviedze iwe pachako

Take the Visual Question Answering quiz

Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.

Tanga mibvunzo

Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo

Mibvunzo inowanzo bvunzwa

Chii chinonzi Visual Question Answers?

Visual Question Answering (VQA) inoita kuti hurongwa hupindure mibvunzo yakasununguka-yemutauro wechisikigo pamusoro pemufananidzo, sekuti 'Vanhu vangani vakapfeka ngowani?' Zvinoda kunzwisisa pamwe chete zvose mufananidzo uye mubvunzo kuti ubudise mhinduro yakarurama.

Ndeapi mapindiro maviri anotorwa neVisual Question Answering system?

VQA inotora zvese mufananidzo uye mubvunzo nezvayo, yobva yaburitsa mhinduro yakavakirwa pamufananidzo.

Sei iyo VQA v2.0 dataset yakagadzirwa nemhinduro 'dzakaenzanirana'?

VQA v2.0 inobatanidza mibvunzo ine mifananidzo ine mhinduro dzakasiyana, ichimanikidza mamodheru kuti anyatso shandisa zvinoonekwa pane kushandisa manhamba ezvinyorwa.

Chii chinonzi 'kusarerekera kwemutauro' muVQA?

Kurerekera kwemutauro ndiko apo muenzaniso unoshandisa nhamba dzemhinduro dzakasungirirwa kumutsara wemubvunzo pane kutarisa mufananidzo.

Mamodheru mazhinji eVQA anosanganisa sei mufananidzo uye ruzivo rwemubvunzo?

VQA modhi inokodha imwe neimwe modhi uye nekuisanganisa, kazhinji vachishandisa muchinjiko-kutarisa saka mazwi emubvunzo anoenda kumatunhu akakodzera emifananidzo.

Classic VQA masisitimu anowanzo kuburitsa mhinduro nekuita chii?

Mazhinji ekutanga eVQA modhi aibata basa sechikamu pamusoro pemhinduro dzinowanzoitwa, kunyangwe mamodheru azvino anoburitsa mavara akavhurika.