Uhlolojikelele
I-convolutions ekhubazekile ivumela inethiwekhi ye-neural igobe igridi yayo yesampula ukuze ilandele umumo wangempela wezinto esikhundleni sokuyiphoqa ngefasitela lesikwele eliqinile. Lokhu kwenza amamodeli abe ngcono kakhulu ekuphatheni izimo ezingavamile, izinguquko zesikali, nokuhlanekezela kwejometri.
I-Deformable Convolutions ingeyokugeleza kokusebenza kombono wekhompyutha ohumusha noma okhiqiza imidiya ebonakalayo ukuze ihlaziywe, isebenze, futhi isungule.
I-Deep Dive
Isampula evamile yamasampula wamaphikseli kuma-fixed offset — igridi ehlelekile engu-3x3 egxile endaweni ngayinye. Lokho kusebenza kahle ekwenziweni kokwakheka kodwa kuyazabalaza lapho izinto zitshekiswa, zeluliwe, noma zakheke ngendlela eyinqaba. Ukuguquguquka okugogekayo, okwethulwe u-Dai kanye nozakwabo ku-Microsoft Ucwaningo ngo-2017, lwengeza i-offset encane efundiwe kulelo nalelo phuzu lamasampula. Inethiwekhi ibheka okokufaka futhi ibikezela ukushintsha kwe-2D kwayo yonke indawo yegridi, ukuze inkambu eyamukelayo igoqe ukuze igone unqenqema olugobile noma ilandele isitho esitshekile. Ukuhlanganisa i-RoI ekhubazekile kusebenza umqondo ofanayo ezicini zesifunda. Inguqulo yesi-2 (2018) yengeze izisindo zokushintshwa kwephuzu ngalinye, ivumela isendlalelo simanzise noma sikhulise isampula ngayinye, okulole ukunemba kokutholwa kwento kumabhentshimakhi afana ne-COCO.
I-Technical Insight
Ama-offset akhiqizwa isendlalelo esingeziwe sokuguquguquka esisebenza ngokuhambisana, sikhipha amanani we-2N we-N-point kernel (i-dx eyodwa, i-dy eyodwa ngephoyinti). Ngenxa yokuthi ama-offset abikezelwayo angama-fractional, amanani e-pixel ayisampula ahlanganiswa nokuhunyushwa kwe-bilinear, okugcina wonke umsebenzi wehluka. Ama-offset afundwa kusukela ekupheleni ngokusabalalisa okuvamile - akukho ukugada okuhlukile okutshela inethiwekhi ukuthi ibheke kuphi. Izindleko ezingeziwe zincane ngoba igatsha le-offset lilula uma liqhathaniswa namamephu wesici esiyinhloko.
Ukuthola I-Convolutions Ekhubazekile
I-convolutions ekhubazekile ivumela inethiwekhi ye-neural igobe igridi yayo yesampula ukuze ilandele umumo wangempela wezinto esikhundleni sokuyiphoqa ngefasitela lesikwele eliqinile. Lokhu kwenza amamodeli abe ngcono kakhulu ekuphatheni izimo ezingavamile, izinguquko zesikali, nokuhlanekezela kwejometri. I-Deformable Convolutions ingeyokugeleza kokusebenza kombono wekhompyutha ohumusha noma okhiqiza imidiya ebonakalayo ukuze ihlaziywe, isebenze, futhi isungule. Ukuze wakhe ukuqonda okujulile, phatha i-Deformable 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 ukunemba kwebhalansi ye-Deformable Convolutions namaqiniso okusebenza njengekhwalithi yedatha, ukuhluka kokukhanya, nokuvumelana kwamalebula. 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.
I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini. Ngesikhathi esifanayo, amalungelo ezithombe kanye nemvume kungaba ubungozi bomthetho uma ukutholakala kungacacile. 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
I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini.
I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Amathimba aqanjiwe angakwazi ukulinganisa imiqondo ngokushesha ngezibuyekezo ezimbalwa ezenziwa mathupha.
Amathimba aqanjiwe angakwazi ukulinganisa imiqondo ngokushesha ngezibuyekezo ezimbalwa ezenziwa mathupha. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imisebenzi ingasebenzisa amasiginali wesithombe nawevidiyo obekunzima ukuwenza ngaphambilini.
Imisebenzi ingasebenzisa amasiginali wesithombe nawevidiyo obekunzima ukuwenza ngaphambilini. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Ukutholwa kwento ku-COCO, lapho izendlalelo ezigogekayo zithuthukisa ukunemba ezintweni ezinde noma ezizungezisiwe njengezitimela nezindlulamithi
Ukuhlukaniswa kwesemantic kwezigcawu zomgwaqo, kusiza amamodeli ukulandelela izimpawu zomzila ogobile kanye nezinhlaka zesakhiwo ezingajwayelekile
I-DETR egugayo yokuthola ukuphela ukuya ekupheleni, kusetshenziswa ama-offset afundiwe ukwenza ukunaka kwe-transformer kusebenze kahle
Imifanekiso yezokwelapha, lapho izimila nezitho zinezimo ezingaqinile ezibamba kabi amagridi
Amaphethini Okusebenzisa
I-Deformable Convolutions ekusebenzeni
Ukutholwa kwento ku-COCO, lapho izendlalelo ezigogekayo zithuthukisa ukunemba ezintweni ezinde noma ezizungezisiwe njengezitimela nezindlulamithi.
Ukutholwa kwento ku-COCO, lapho izendlalelo ezigogekayo zithuthukisa ukunemba kwezinto ezinde noma ezizungezisiwe njengezitimela nezindlulamithi Amaqembu ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, agcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Deformable Convolutions ekusebenzeni
Ukuhlukaniswa kwesemantic kwezigcawu zomgwaqo, ukusiza amamodeli ukulandelela izimpawu zomzila ogobile kanye nezinhlaka zesakhiwo ezingajwayelekile.
Ukuhlukaniswa kwesemantic kwezigcawu zasemgwaqweni, ukusiza amamodeli alandelele izimpawu zemizila egobile kanye nezinhlaka zesakhiwo ezingajwayelekile Amaqembu ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka kwabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Deformable Convolutions ekusebenzeni
I-DETR egugayo yokuthola ukuphela ukuya ekupheleni, kusetshenziswa ama-offset afundiwe ukwenza ukunaka kwe-transformer kusebenze kahle.
I-DETR egugayo ukuze kutholwe kusukela ekupheleni, kusetshenziswa ama-offset afundiwe ukwenza ukunaka kwe-transformer kusebenze kahle Amathimba ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Deformable Convolutions ekusebenzeni
Imifanekiso yezokwelapha, lapho izimila nezitho zinezimo ezingaqinile ezibamba kabi amagridi.
Ukucabanga kwezokwelapha, lapho izimila nezitho zinezimo ezingaqinile ezibamba kabi ama-grid 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
Amalungelo ezithombe kanye nemvume kungaba ubungozi bezomthetho uma ukuvela kungacacile.
Ukusebenza kwemodeli kungahluka kukho konke ukukhanya, izibalo zabantu, kanye nezindawo.
Okuhle okungelona iqiniso kungase kungabonakali ngaphandle uma izinga lokuzethemba liqashelwa.
Ukuqalisa Umhlahlandlela
Chaza indlela yokwamukela yokunemba, ukukhumbula, nezindleko zamaphutha.
Chaza indlela yokwamukela yokunemba, ukukhumbula, nezindleko zamaphutha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Hlola ngedatha efana nezimo zangempela zokukhiqiza.
Hlola ngedatha efana nezimo zangempela zokukhiqiza. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Engeza isibuyekezo somuntu ukuze uthole ukuzethemba okuphansi noma izibikezelo zomthelela omkhulu.
Engeza isibuyekezo somuntu ukuze uthole ukuzethemba okuphansi noma izibikezelo zomthelela omkhulu. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Landelela ukukhukhuleka kwemodeli bese uqinisekisa kabusha ngemva kwezinguquko zekhamera noma zesethi yedatha.
Landelela ukukhukhuleka kwemodeli bese uqinisekisa kabusha ngemva kwezinguquko zekhamera noma zesethi yedatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.