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gis-gis trafo DETR

DETR (DEtection TRansformer) dafay soppi gis-gis mbir ni ab jafe-jafe buy wax luy waaja am buñu saafara ak ab transformatër, dindi jéego yuñ defaree loxo lu melni boîte ancrage ak dindi bu amul maximum.

Déglul tegtal biiIA-nettali · ~2 min

Ci xët wii2 simili jàng
  1. Résumé
  2. Plongeur bu xóot
  3. Doxal ci àdduna dëgg
  4. Ëlëgu gis-gis transformatër DETR
  5. Teg ko ci jëf
  6. Weyal di banneexu
  7. Laaj yi ñuy faral di laaj

Résumé

Dafa am solo ndax dafa jox gis-gis bi gasoduc bu sell, buy dem ba ci njeexte gi, loolu moo inspiré ay modelu gis-gis yu lalu ci transformateur.

Plongeur bu xóot

Facebook AI moo ko dugal ci 2020, DETR dafa boole yaxu ndigg CNN ak enkodeer-dekodeer transformatër. CNN dafay génne màndarga yi ci nataal yi; encoder bi dafay jaxase contexte global ci nataal bi yépp; ak dekodeer bi dafay jël 'object queries' yuñ jàng, mu soppi bu nekk ci ñoom muy object buñ gis (class plus boîte bounding) wala 'amul object'. Li gëna am solo mooy méngale ñaari pàcc: ci diiru tàggat, algorithm bu Hongrois dafay gis liggéey bu benn-ci-benn ci diggante waxtaan ak mbir yu dëggu ci suuf, suko defee model bi jàng génne benn boyet bu amul fenn ci mbir mu nekk ci saasi. Loolu dina dindi suppression bu amul maximum ak ancrage tuning. Kompromis yi ñooy convergence bu yeex ak gëna néew doole ci object yu ndaw, ñu topp ci lu melni Deformable DETR.

Doxal ci àdduna dëgg

Gis ak boxe doxkat yi ak oto yi ci done yu gëstu dawal seen bopp

Segmentaasioŋ panoptik buy dooleel suñu ko yokkee ba ci xayma masku pixel bu nekk

Dafay nekk architecture yaxu ndigg ngir vocabulaire bu ubbeeku ak detectëri grounding

Wut mbir yi ci biir nataali etaser te doo defar dayo ancrage ci done bu nekk

Ëlëgu gis-gis transformatër DETR

DETR genne na famiy transformatër yuy gis. Xeetu xeetu DINO yu melni DETR buñ mëna soppiku, DAB-DETR, DN-DETR, ak DINO gaawal nañu bu baax tàggat-yaram bi ba noppi gëna dëppoo, ak xeetu DINO yu yegg ba ci kaw màndarga yi ñuy gis. Laajte-based, paradigm njeexte-ba-jeexal leegi dafay dem ba ci segmentation, topp, ak gis 3D, ak gis-gis vocabulaire bu ubbeeku tabax ci kaw. Xaarandil wéyal mbootaay gi ci gis-gis, xaaj, ak lakk-grounding ci architecture transformateur yuñ boole, ak DETR ñuy fàttaliku ni jéego bu am solo bi dindi heuristics yuñ defaree loxo.

Teg ko ci jëf

Lu tax mu am solo

  • Gaawaay ak yaatuwaay. Visual IA mën na otomatise saytu, gis ak etiketu liggéey ci eskaal.
  • Tabax tànneef. Ekipu kreatif yi mën nañu defar konsept yu gëna gaaw te duñu def lu bari ci loxo.
  • Ekip ak def liggéey. Liggéeyukaay yi mën nañu jëfandikoo siñaal nataal wala wideo yu jafewoon lool ci liggéey.

Moytul

  • Yelleefi nataal ak nangu mën na nekk risku yoon sudee fi ñu bawoo leerul.
  • Performance model bi mën na wuute ci leeraay bi, demographie bi ak environmaa bi.
  • Njuumteg positive yi mën nañu dem te kenn duko seetlu fileek xool wuñu buntu wóolu sa bopp.

Jéego yi ci topp

  1. Mandargal kritërium nangug njub, woowaat ak njëgu njuumte.
  2. Saytu ak done yu méngoo ak anam yi ñuy liggéeyee dëgg.
  3. Yokk jàngat nit ngir xam fu wóorul dara wala am njeexital yu rëy.
  4. Toppal model drift bi nga baaxal ko ginaaw bi kamera bi wala done yi soppeekoo.

Weyal di banneexu

Bulletin bu amul fayda

Jàngal xibaar AI bu bes

Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.

Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.

Nattal sa bopp

Take the DETR Transformer Detection quiz

Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.

Tambalil quiz

Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax

Laaj yi ñuy faral di laaj

Luy gis trafo DETR?

DETR (DEtection TRansformer) dafay soppi gis-gis mbir ni ab jafe-jafe buy wax luy waaja am buñu saafara ak ab transformatër, dindi jéego yuñ defaree loxo lu melni boîte ancrage ak dindi bu amul maximum. Dafa am solo ndax dafa jox gis-gis bi gasoduc bu sell, buy dem ba ci njeexte gi, loolu moo inspiré ay modelu gis-gis yu lalu ci transformateur.

Lan la DETR di dindi buñu ko méngale ak detektër yu yàgg yu melni Faster R-CNN?

DETR mooy njeexte-ba-jeexal te dafay wax luy waaja am ci ay boîte ci saasi, di dindi ancre yi ak jéego yi amul suppression bu gëna mag ginaaw bi ñu defee liggéey bi.

Ban algorithm la DETR di jëfandikoo ngir méngale waxtaan yi ak mbir yu dëggu yi ci diiru tàggat bi?

DETR dafay jëfandikoo algorithm bu waa Hongrie ngir defar benn-ci-benn liggéey ci diggante waxtaan ak mbir yu dëggu ci suuf ngir ñàkka am.

Luy 'laajtu mbir' yu DETR?

Laajte mbir yi limu vecteur yiñ jàng lañu; dekodeer bi dafay soppi bu nekk ci mbir mi ñuy wax luy waaja am wala 'amul benn mbir'.

Ban architecture la DETR boole?

DETR dafay boole yaxu ndigg convolutionnel ngir man-man yi ak encodeur-decodeur transformateur ngir wax luy waaja am.

How does DETR's training objective support inference without a separate NMS stage?

The learning objective encourages a unique prediction per object; this is a design and training mechanism rather than an infallibility guarantee.