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Nhungamiro yehunyanzvi
InfoNCE ndiko kurasikirwa kwakasiyana kunodzidzisa modhi kudhonza mapeya anoenderana pamwe chete uye kusundira zvisingaenderane peya nepakati mukumisikidza nzvimbo.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
SimCLR inzvimbo yakakosha iyo yakashandisa kurasikirwa uku kudzidza ine simba inomiririra mifananidzo kubva kune isina kunyorwa data, kukwikwidza inotariswa pretraining.
InfoNCE (Noise-Contrastive Estimation for mutual information) inodzidzisa encoder kuitira kuti mubvunzo nechaiko chawo chechokwadi ive nemhando yepamusoro yezvibodzwa pane mubvunzo nezvakawanda zvakaipa. Iyo inonyanya kuve softmax muchinjiko-entropy pamusoro pekufanana zvibodzwa: kune anchor, iyo yakanaka inofanirwa kuhwina inopesana nezvakashata. SimCLR (2020) yakashandisira izvi kumifananidzo: tora mufananidzo mumwe, shandisa maviri akasarudzika ekuwedzera kuti ugadzire maviri akanaka, mhanyisa zvese kuburikidza neyakagovaniswa encoder pamwe nemusoro wekufungidzira, uye shandisa yakajairwa tembiricha-yakaiswa muchinjiro-entropy (NT-Xent, iyo InfoNCE musiyano) kuti iwo maviri akawedzerwa maonero anokwezva nepo mimwe mifananidzo yese mubatch ichiita seisina kunaka. SimCLR yakaratidza kuti kuwedzera kwedata kwakasimba, musoro wekufungidzira usiri wemutsetse, saizi hombe dzebhechi, uye tembiricha yakarongedzwa pamwechete rega mamodheru anozvitarisira aenderane neanotariswa paImageNet - pasina chero mavara panguva yekudzidzira.
SimCLR kufanodzidzira encoder yemufananidzo pamifananidzo isina kunyorwa, wozogadzirisa padiki diki rakanyorwa seti yekuiswa.
CLIP uchishandisa InfoNCE chinangwa kuenzanisa mifananidzo ine zvinyorwa zvayo, zvichiita kuti zero-shot image classification.
Kuvaka kutsvaga kwekuona/kutsvagisa uko mifananidzo yakafanana inogara padhuze munzvimbo yakadzidzwa yekumisikidza.
Kuzvitarisira wega pretraining yezvekurapa kana sesatellite mifananidzo uko kune mavara mashoma asi data raw rakawanda.
Zvinangwa zvinopesana zvakapararira kupfuura SimCLR: CLIP inoenderana nemifananidzo nemavara uchishandisa InfoNCE munzira dzese, uye kurasikirwa kwakafanana kunotyaira odhiyo, vhidhiyo, uye yekudzosa modhi. Tsvagiridzo ikozvino inoderedza kutsamira pamabhechi akakura uye akawanda asina kunaka kuburikidza nemabhangi ekurangarira (MoCo), kana kubvisa pachena zvisina kunaka zvachose (BYOL, SimSiam, DINO). Tarisira kuenderera mberi kusanganiswa kwekusiyanisa, distillation, uye masked-modelling pretraining, ine multimodal alignment (zvinyorwa, mufananidzo, odhiyo) semuganho mukuru weiyo nheyo modhi.
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InfoNCE ndiko kurasikirwa kwakasiyana kunodzidzisa modhi kudhonza mapeya anoenderana pamwe chete uye kusundira zvisingaenderane peya nepakati mukumisikidza nzvimbo. SimCLR inzvimbo yakakosha iyo yakashandisa kurasikirwa uku kudzidza ine simba inomiririra mifananidzo kubva kune isina kunyorwa data, kukwikwidza inotariswa pretraining.
InfoNCE ndeye softmax pamusoro pekufanana kunopa mubayiro kufanana kwepamusoro kwechokwadi chakanaka uye chakaderera kufanana kwezvisina kunaka.
SimCLR inogadzira maviri akanaka kubva kune maviri akawedzera maonero eiyo yakafanana sosi mufananidzo; mimwe mifananidzo inoshanda seyakaipa.
Kugovanisa kufanana ne τ pamberi pe softmax inodzora kuti kurasikirwa kunosiyanisa zvakakomba sei kubva kune dzakaoma dzisina kunaka.
SimCLR yakaona kuti maficha pamberi pekufungidzira musoro kutamiswa zviri nani, saka musoro unokandwa kure mushure mekudzidzira.
MuSimCLR mamwe mapikicha ari mubatch anoita seasina kunaka, saka mabheti akakura anopa zvimwe zvakaipa uye kudzidza kwakasimba.
Ramba uchidzidza
Mamwe madhairekitori akasarudzirwa nyaya iyi
InoteveraGaidhi rinotevera
Tarisa mberi uye Shumba Optimizers
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