Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
ディープラーニングでコーデを提案/FashionTechMeetup#4
Search
tn1031
June 07, 2017
Technology
2.5k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
ディープラーニングでコーデを提案/FashionTechMeetup#4
tn1031
June 07, 2017
More Decks by tn1031
See All by tn1031
Outfit Generation and Style Extraction via Bidirectional LSTM and Autoencoder
tn1031
0
180
インタラクティブな属性操作が可能なファッションアイテム検索/attribute manipulation survey
tn1031
0
1.2k
Autoencoderを用いたOutfitからのスタイル抽出/style auto encoder
tn1031
0
13k
fashion_workshop_survey/Size Recommendation System for Fashion E-commerce
tn1031
0
300
画像を用いたファッションアイテム検索/Image Retrieval for Fashion
tn1031
0
5.9k
ファッションアイテム検索における深層学習の活用/Fashion Item Retrieval using Deep Learning
tn1031
0
2.5k
KDD 2016勉強会/Images Don’t Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank
tn1031
0
1k
ファッションのコーディネートを自動生成してみた/FashionTech Talks Tokyo #1 LT
tn1031
2
1.2k
Fashion Tech x Machine Learning/twm_fashion_ml
tn1031
5
5.7k
Other Decks in Technology
See All in Technology
Deep Data Security 機能解説
oracle4engineer
PRO
2
790
二歩目のフロントエンド・ウェブアクセシビリティ
camiha
2
390
脆弱性診断って、何をしているの? 〜弱点を見つけて、会社の改善につなげるまで〜
keeg
0
880
Cognition AI Japan - ウェビナー2_テストQA_運用監視
cogakira
0
140
Running Kotlin + Quarkus with Lambda
nealle
1
450
OSC2026on_the-world-is-waiting-for-your-voice.pdf
naruoga
0
370
無理せず続ける、子育てエンジニアの学び
codmoninc
PRO
0
710
今こそ知りたいAmplifyGen2
mkdev10
2
160
FOSS4Gを活用した自治体業務DXの試み
470715
0
150
スキマバイトという雇用形態は存在しないので、雇用期間1日のアルバイト契約を事業者とワーカーが結ぶ手続きを支えるのがタイミーなんです
akitoshiga
0
130
Loop Engineering, beyond prompt, context, and harness engineering
glaforge
0
100
Essential architectural thinking (revised edition)
ufried
0
120
Featured
See All Featured
The AI Search Optimization Roadmap by Aleyda Solis
aleyda
2
6.3k
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
1
280
Stop Working from a Prison Cell
hatefulcrawdad
274
21k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
35
3.8k
Writing Fast Ruby
sferik
630
63k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
31k
Building Experiences: Design Systems, User Experience, and Full Site Editing
marktimemedia
1
620
Rails Girls Zürich Keynote
gr2m
96
14k
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
2
2k
HTML-Aware ERB: The Path to Reactive Rendering @ RubyCon 2026, Rimini, Italy
marcoroth
5
800
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
530
Speed Design
sergeychernyshev
33
2.2k
Transcript
σΟʔϓϥʔχϯάͰίʔσΛఏҊ !UO7"4*-: JOD 'BTIJPO5FDI.FFUVQ
ίʔσΛఏҊ͢Δ w ϑΝογϣϯͰѻ͏ը૾ w Γ͍ͨ͜ͱ ࣮ݱํ๏ w $//Λ༻͍ͨಛநग़ w εφοϓը૾ͷදݱ
w ݕࡧͷΈ ࣮ݧ ·ͱΊ "HFOEB
w தଜຏ!UO w σʔλαΠΤϯςΟετ w લ৬ɿ4* w ࣄɿػցֶशɾը૾ೝࣝ w ΞϧΰϦζϜͷ։ൃ
ࣗݾհ !UO
3&4&"3$)ˍ%&7&-01.&/5 ࣗࣾͰഓͬͨ։ൃٕज़ͷఏڙ ɾΞϓϦ։ൃ ɾΫϩʔϦϯά ɾػցֶश ɾσΟʔϓϥʔχϯά ɾը૾ղੳ
։ൃٕͨ͠ज़ Ϟσϧண༻ը૾ εφοϓը૾ ΛΫΤϦͱͯ͠ը૾Λݕࡧ͢Δ ΫΤϦը૾ ݕग़ ݕࡧ
ίʔσΛఏҊ͢Δ w ϑΝογϣϯͰѻ͏ը૾ w Γ͍ͨ͜ͱ ࣮ݱํ๏ w $//Λ༻͍ͨಛநग़ w εφοϓը૾ͷදݱ
w ݕࡧͷΈ ࣮ݧ ·ͱΊ "HFOEB
ϑΝογϣϯͰѻ͏ը૾ ը૾ͱεφοϓը૾ͱ͍͏छྨͷυϝΠϯ͕ଘࡏ͢Δ w ஔ͖ࡱΓϚωΩϯͷը૾͕ଟ͍ w ਖ਼໘͔ΒΈͨ࣌ͷσβΠϯ͕Θ͔Γ͍͢ w ண༻Πϝʔδ͕༙͖ʹ͍͘
ը ૾ ε φ ο ϓ ը ૾ ը૾ ಛ w Ϟσϧ͕ண༻ͨ͠ը૾ w ண༻࣌ͷҹίʔσΟωʔτͷࢀߟʹͳΔ w ϙʔζഎܠʹΛڽΒ͍ͯ͠Δ
Γ͍ͨ͜ͱ ͷண༻ΠϝʔδΛఏڙ͍ͨ͠ w ண༻Πϝʔδͷఏڙར༻γʔϯͷى w ίʔσΟωʔτͷఏҊ ৄࡉΛΈ͍ͯΔϢʔβʔʹͱࣅ͍ͯΔΞΠςϜΛ ͬͨεφοϓը૾Λදࣔ͢Δ
ίʔσΛఏҊ͢Δ w ϑΝογϣϯͰѻ͏ը૾ w Γ͍ͨ͜ͱ ࣮ݱํ๏ w $//Λ༻͍ͨಛநग़ w εφοϓը૾ͷදݱ
w ݕࡧͷΈ ࣮ݧ ·ͱΊ "HFOEB
$//Λ༻͍ͨಛநग़ ΞΠςϜͷಛΛ$//ͰϕΫτϧԽ͢Δ w ը૾͔ΒΞΠςϜͷಛΛநग़ͯ͠ϕΫτϧԽ͢Δ w ϕΫτϧಉ࢜ͷҐஔؔྨࣅͱΈͳ͢͜ͱ͕Ͱ͖Δ ಛྔۭؒ f(x) ͍ۙ(ࣅ͍ͯΔ)
ԕ͍(ࣅ͍ͯͳ͍) ը૾σʔλ ॎԣ480pixelͷ߹ɺ࣍ݩ 480x480x3 = 691200 dim ը૾ಛྔ ը૾σʔλΛදݱ͢Δ࣍ͷϕΫτϧ ѹॖ ؔʹCNNΛ࠾༻
$//Λ༻͍ͨಛநग़ ͷྨࣅͷؔUSJQMFUMPTTͰධՁ͢Δ Anchor Positive Negative CNN CNN CNN w
ը૾ͷυϝΠϯʹؔͳ͘ڞ௨ͷωοτϫʔΫΛ͏ w ࣅ͍ͯΔը૾ಉ࢜ۙͮ͘Α͏ʹʗࣅ͍ͯͳ͍ը૾ಉ࢜ԕ͔͟ΔΑ͏ʹ Embedding margin ֶश Embedding
εφοϓը૾ͷදݱ εφοϓը૾ʹؚ·ΕΔΞΠςϜͷಛྔΛΧςΰϦຖʹܭࢉ͢Δ w εφοϓը૾͔Β֤ΧςΰϦͷΞΠςϜΛݕग़ͯ͠ύʔε w ͦΕͧΕͷಛྔΛ·ͱΊͯεφοϓը૾ͷදݱͱ͢Δ UPQTUPQTྖҬ͔Βநग़ͨ͠ಛྔ QBOUTQBOUTྖҬ͔Βநग़ͨ͠ಛྔ CBHTCBHTྖҬ͔Βநग़ͨ͠ಛྔ
GPPUXFBSGPPUXFBSྖҬ͔Βநग़ͨ͠ಛྔ \ εφοϓը૾ ݕग़ εφοϓը૾ͷදݱ
ݕࡧͷΈ छྨͷϞδϡʔϧ͔ΒͳΔ w ݕग़Ϟδϡʔϧεφοϓը૾Λύʔεͯ͠ಛྔΛܭࢉ͓ͯ͘͠ w ݕࡧϞδϡʔϧը૾͔ΒύʔεࡁΈεφοϓը૾Λݕࡧ͢Δ ݕग़ ݕࡧ εφοϓը૾
ΞΠςϜྖҬ ݕग़ Ϟδϡʔϧ ݕࡧ Ϟδϡʔϧ IUUQBSYJWPSHBCT
ίʔσΛఏҊ͢Δ w ϑΝογϣϯͰѻ͏ը૾ w Γ͍ͨ͜ͱ ࣮ݱํ๏ w $//Λ༻͍ͨಛநग़ w εφοϓը૾ͷදݱ
w ݕࡧͷΈ ࣮ݧ ·ͱΊ "HFOEB
࣮ݧ݁Ռ1/2 ΫΤϦը૾ ݕࡧ݁Ռ
࣮ݧ݁Ռ2/2 ΫΤϦը૾ ݕࡧ݁Ռ
ίʔσΛఏҊ͢Δ w ϑΝογϣϯͰѻ͏ը૾ w Γ͍ͨ͜ͱ ࣮ݱํ๏ w $//Λ༻͍ͨಛநग़ w εφοϓը૾ͷදݱ
w ݕࡧͷΈ ࣮ݧ ·ͱΊ "HFOEB
w ը૾͔Βεφοϓը૾Λݕࡧ͢ΔΈΛఏҊ w ண༻Πϝʔδͷىʗར༻γʔϯͷى w ίʔσΟωʔτͷఏҊ w σΟʔϓϥʔχϯάΛ༻͍࣮ͯݱ w ݕग़ͱݕࡧͷΈ߹Θͤ
w ྨࣅͷධՁʹUSJQMFUMPTTΛ༻͍Δ w ༻ײ w େࡶͳಛଊ͑ΒΕ͍ͯΔ w ৎײͷΑ͏ʹࡉ͔͍ಛνϡʔχϯάޙॲཧͰٵऩ w ݕग़ͷਫ਼͕ݕࡧਫ਼ʹӨڹ͢Δ ·ͱΊ
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠