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Spatial Transformer Networks (STNs) mamodule anodzidzwa anoita kuti neural network ishande, itenderere, kurima, kana kudzoreredza mapindiro ayo kuti itarise pane zvakakosha.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
They give CNNs a built-in sense of spatial attention and invariance.
Standard convolutional network inongova isina simba isingachinji kune shanduko yenzvimbo, chiyero, uye kutenderera, zvichitsamira pakubatanidza kune kushivirira zvishoma. Spatial Transformer Networks, yakaunzwa naJaderberg et al. muna 2015, gadzirisa izvi nekuisa differentiable module inoita yakajeka geometric shanduko pamamepu emhando. Iyo module ine zvikamu zvitatu: network yenzvimbo inofanotaura shanduko yeparameta, jenareta regidhi rinovaka sampling grid kubva kune iwo ma paramita, uye sampler inodudzira zvinopinza pamapoinzi egidhi. Nekuti nhanho yega yega inosiyaniswa, iyo shandurudzo yese inodzidziswa kuguma-kusvika-kumagumo nekudzokera shure pasina humwe hutongi. Iyo network inodzidza, semuenzaniso, kutwasanudza madhijitari akarereka kana kuswededza pedyo nedunhu rakakodzera, ichiwedzera chokwadi uye kusimba.
Kutwasanudza uye kurongedza mavara akakomberedzwa kana akatenderedzwa asati azivikanwa muchiitiko-chinyorwa OCR masisitimu.
Kuswededza munzvimbo dzine rusarura (semuromo weshiri kana bapiro) kuitira kurongwa kwemifananidzo yakatsetseka.
Normalizing face pose uye kurongeka senhanho yekufanogadzirisa mumapaipi ekuzivikanwa kumeso
Kugadzirisa kukanganisa uye kuenzanisa scans mukunyoresa mufananidzo wekurapa
STNs yakapesvedzera mabatiro anoita matinji geometry uye kutarisisa, kudyisa mune akaremara convolutions uye akadzidza-warping modules. Nepo vashanduri vekuzvitarisa vave kutonga, STN-style inosiyanisa sampling inorambira mumabasa anoda yakajeka geometric kurongeka: kucherechedzwa kwemavara, kurongeka kwakanaka, uye kuisa mamiriro. Tarisira kuti kurwiswa kunopatsanurika kuti kurambe kuchionekwa muchiratidzo che 3D, neural rendering, uye kunyoreswa kwemifananidzo yekurapa, kazhinji inosanganiswa nekutarisisa kwete kutsiviwa nayo.
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Spatial Transformer Networks (STNs) mamodule anodzidzwa anoita kuti neural network ishande, itenderere, kurima, kana kudzoreredza mapindiro ayo kuti itarise pane zvakakosha. Ivo vanopa CNNs yakavakirwa-mukati pfungwa yekutarisisa kwenzvimbo uye kusagadzikana.
MaSTN anoisa moduru inodzidzika inokwanisa kuturikira, kutenderedza, kuyera, kana mamepu emhando yewarp kuti atarise pane zvinoenderana.
STN ine network yenzvimbo (inofanotaura paramita), jenareta regidhi (inovaka sampling coordinates), uye sampler (inodudzira zvakaiswa).
Bilinear kududzira musampler inosiyaniswa, saka magradients anoyerera achidzokera kuburikidza negiredhi jenareta kune yenzvimbo network, ichigonesa kupera-kusvika-kumagumo kudzidziswa.
Pakushandurwa kwe affine, network yenzvimbo inofanotaura makoshero matanhatu akarongwa se2x3 matrix encoding dudziro, sikero, kutenderera, uye kugera.
CNNs inowana chete mwero kusagadzikana kwenzvimbo kuburikidza nekubatanidza; STNs inowedzera yakajeka, inodzidzika nzira yekubata chinzvimbo, chiyero, uye kutenderera.
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