Visual AI GUIDE

Deformable Convolutions

Deformable convolutions rega neural network ikotame gidhi yesampling kuti iteedzere chimiro chaicho chezvinhu pachinzvimbo chekumanikidza kuburikidza neyakaomarara sikweya hwindo.

Overview

Deformable convolutions rega neural network ikotame gidhi yesampling kuti iteedzere chimiro chaicho chezvinhu pachinzvimbo chekumanikidza kuburikidza neyakaomarara sikweya hwindo. Izvi zvinoita kuti mamodheru ave nani pakubata zvimiro zvisinganzwisisike, shanduko yechikero, uye kukanganisa kwejometri.

Deformable Convolutions ndeyekombuta-kuona mafambiro anodudzira kana kuburitsa midhiya yekuona yekuongorora, mashandiro, uye kugadzira.

Deep Dive

Yakajairika convolution sampuli mapixels payakagadziriswa offset - yakarongeka 3x3 grid yakatarisana nenzvimbo yega yega. Izvo zvinoshanda zvakanaka kune maumbirwo asi zvinonetsa kana zvinhu zvakarereka, zvakatambanudzwa, kana kuumbwa zvisingaite. Deformable convolutions, yakaunzwa naDai nevamwe vaaishanda navo ku Microsoft Tsvagiridzo muna 2017, wedzera diki diki rakadzidzwa kune imwe neimwe yemasampling poindi. Iyo network inotarisa kupinza uye inofanotaura shanduko ye 2D kune yega yega gidhi chinzvimbo, saka iyo inogamuchira inokwanisa kutenderera kuti imbundire mupendero wakakomberedzwa kana kutevera nhengo yakatenuka. Deformable RoI pooling inoshandisa iyo imwe pfungwa kune dunhu maficha. Version 2 (2018) yakawedzera per-point modulation uremu, ichirega iyo layer ichinyorovesa kana kukwidziridza sampuli yega yega, iyo yakarodza chinhu-yekuona chokwadi pamabhenji akaita seCOCO.

Technical Insight

Izvo zvinogadziriswa zvinogadzirwa nekuwedzera convolution layer inomhanya mukufanana, ichiburitsa 2N kukosha kweN-point kernel (imwe dx, imwe dy papoindi). Nekuti zvakafanotaurwa zvigadziriso zvine zvidimbu, iwo sampled pixel values ​​anoverengerwa nebilinear kududzira, izvo zvinoita kuti basa rese risiyane. Offsets inodzidzwa kupera-ku-kuguma kuburikidza neyakajairwa backpropagation - hapana yakaparadzana yekutarisa inoudza network kwekutarisa. Mari yakawedzerwa ine mwero nekuti iyo offset bazi ine huremu hunoenderana nehombe mamepu.

Mastering Deformable Convolutions

Kuvaka kunzwisisa kwakadzama, bata Deformable Convolutions semuenzaniso wekushandisa, kwete chinhu chimwe chete. Tsanangura zvaunoda, jekesa fungidziro, uye patsanura izvo zvingaitwe nehurongwa nekuvimbika kubva kune zvichiri kuda kutonga kwenyanzvi.

Mukuita, zvikwata zvakasimba zvinoshandisa Deformable Convolutions kuenzanisa kurongeka nezvinoitika zvekushanda 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.

Ramangwana Rekuremara Convolutions

Kuremara kutarisa kwave musana wekuonekwa kwemazuva ano: Deformable DETR inoshandisa yakadzidzwa sampling offsets kuita kuti transformer itarise kushomeka uye nekukurumidza, kucheka nguva yekudzidziswa zvakanyanya maringe neiyo yekutanga DETR. Tarisira musimboti wakagomara kuti urambe uchipararira kuita vhidhiyo, makore e3D, uye mhando dzemutauro wekuona, uko sampling inogadziriswa inobatsira kubata kufamba, kuvharika, uye geometry isina kujairika. Sezvo tsigiro yehardware yekusajaira ndangariro yekuwana inovandudza, vanobatika vanobatika vanofanirawo kuwana zvakachipa uye zvakanyanya kuisirwa pamipendero michina.

Real-World Implementation

Kuonekwa kwechinhu paCOCO, uko mativi akaremara anowedzera huchokwadi pazvinhu zvakarebesa kana zvakatenderedzwa sezvitima netwiza.

Semantic segmentation yezviratidziro zvemumugwagwa, kubatsira mamodheru kuteedzera mitsetse yakakomberedzwa uye zvimiro zvezvivakwa zvisina kujairika.

Deformable DETR yekuona-kumagumo-kusvika-kumagumo, uchishandisa yakadzidza offset kuita kuti transformer itarise ishande

Kufungidzira kwekurapa, uko mapundu uye nhengo dzine maumbirwo asina kuomarara ayo anogadzika grids anobatwa zvisina kunaka

Maitiro Ekuita

Deformable Convolutions mukuita

Kuonekwa kwechinhu paCOCO, uko mativi akaremara anowedzera huchokwadi pazvinhu zvakarebesa kana zvakatenderedzwa sezvitima netwiza.

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.

Deformable Convolutions mukuita

Semantic segmentation yezviratidziro zvemumugwagwa, kubatsira mamodheru kuteedzera mitsetse yakakombama uye zvimiro zvezvivakwa zvisina kujairika.

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.

Deformable Convolutions mukuita

Deformable DETR yekuona-kumagumo-kusvika-kumagumo, uchishandisa yakadzidza offset kuita kuti transformer itarise ishande.

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.

Deformable Convolutions mukuita

Kufungidzira kwekurapa, uko mapundu uye nhengo dzine maumbirwo asina kuomarara ayo anogadzika grids anobatwa zvisina kunaka.

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.

Njodzi & Guardrails

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Kodzero dzemifananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana provenance isina kujeka.

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Kuita kwemuenzaniso kunogona kusiyanisa kupenya, huwandu hwevanhu, uye nharaunda.

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Manyepo enhema anogona kusacherechedzwa kunze kwekunge zvikumbaridzo zvekuvimba zvikatariswa.

Implementation Roadmap

1

Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.

Bata izvi segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gap, uye wobva wawedzera kushandiswa.

2

Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.

Bata izvi segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gap, uye wobva wawedzera kushandiswa.

3

Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.

Bata izvi segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gap, uye wobva wawedzera kushandiswa.

4

Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.

Bata izvi segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gap, uye wobva wawedzera kushandiswa.

Ramba Uchiongorora

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