Overview
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.
Spatial Transformer Networks ndeyekombuta-yekuona workflows inodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira.
Deep Dive
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.
Technical Insight
Iyo localization network inoburitsa paramita (kazhinji 2x3 affine matrix) yekushandura, chiyero, kutenderera, uye kugera. Iyo grid jenareta inomepu yega yega pixel inobuda ichidzokera kune sosi inorongedzerwa kuburikidza neiyo matrix. Sampler inozoverenga inopinza ichishandisa bilinear kududzira, iyo inopatsanurika saka magradients anoyerera achienda kunetiweki yenzvimbo. Izvi zvinoita kuti module idzidze shanduko kubva mukurasikirwa kwebasa, kuenda kune uye kuita canonicalizing matunhu akakodzera.
Mastering Spatial Transformer Networks
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. Spatial Transformer Networks ndeyekombuta-yekuona workflows inodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira. Kuvaka kunzwisisa kwakadzama, tora Spatial Transformer Networks semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Spatial Transformer Networks kuenzanirana nezviri kuitika semhando yedata, kusiyana kwemwenje, uye kuenderana kwemazita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero. Panguva imwecheteyo, kodzero dzeMufananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana hunhu husina kujeka. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero.
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma.
Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa.
Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
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
Maitiro Ekuita
Spatial Transformer Networks mukuita
Kutwasanudza uye kurongedza mavara akakomberedzwa kana akatenderedzwa asati azivikanwa muchiitiko-chinyorwa OCR masisitimu.
Kutwasanudza uye kubatanidza mavara akakomberedzwa kana akatenderedzwa asati azivikanwa muchiitiko-chinyorwa OCR masisitimu Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Spatial Transformer Networks mukuita
Kuswededza munzvimbo dzine rusarura (semuromo weshiri kana bapiro) kuitira kurongwa kwemifananidzo.
Kusvika munzvimbo dzine rusarura (semuromo weshiri kana bapiro) yemhando-yakaomeswa yemhando Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Spatial Transformer Networks mukuita
Normalizing face pose uye kurongeka senhanho yekufanogadzirisa mumapaipi ekuzivikanwa kumeso.
Kugadzirisa chimiro chechiso uye kurongeka senhanho yekufanotungamira mumapombi ekuzivikanwa kumeso Zvitimu zvinowanzowana mhedzisiro iri nani kana vachitsanangudza zvikumbaridzo kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Spatial Transformer Networks mukuita
Kugadzirisa kukanganisa uye kuenzanisa scans mukunyoresa mufananidzo wekurapa.
Kugadzirisa kukanganisa uye kuenzanisa scans mukunyoreswa kwemifananidzo yekurapa Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
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.
Implementation Roadmap
Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.
Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.
Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.
Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.
Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.