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Deep Bidirectional Cross-Triplet Embedding for Online Clothing Shopping

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10590-1_31openalex-snapshot
Hipster Wars: Discovering Elements of Fashion Styles
inferredcites →https://doi.org/10.1007/978-3-642-37444-9_33openalex-snapshot
Efficient Clothing Retrieval with Semantic-Preserving Visual Phrases
inferredcites →https://doi.org/10.1109/cvpr.2005.202openalex-snapshot
Learning a Similarity Metric Discriminatively, with Application to Face Verification
inferredcites →https://doi.org/10.1109/cvpr.2006.100openalex-snapshot
Dimensionality Reduction by Learning an Invariant Mapping
inferredcites →https://doi.org/10.1109/cvpr.2012.6248101openalex-snapshot
Parsing clothing in fashion photographs
inferredcites →https://doi.org/10.1109/cvpr.2014.180openalex-snapshot
Learning Fine-Grained Image Similarity with Deep Ranking
inferredcites →https://doi.org/10.1109/cvpr.2015.7298682openalex-snapshot
FaceNet: A unified embedding for face recognition and clustering
inferredcites →https://doi.org/10.1109/cvpr.2015.7298688openalex-snapshot
Neuroaesthetics in fashion: Modeling the perception of fashionability
inferredcites →https://doi.org/10.1109/cvpr.2015.7298748openalex-snapshot
Matching-CNN meets KNN: Quasi-parametric human parsing
inferredcites →https://doi.org/10.1109/cvpr.2015.7299169openalex-snapshot
Deep domain adaptation for describing people based on fine-grained clothing attributes
inferredcites →https://doi.org/10.1109/cvpr.2016.124openalex-snapshot
DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
inferredcites →https://doi.org/10.1109/cvpr.2016.434openalex-snapshot
Deep Metric Learning via Lifted Structured Feature Embedding
inferredcites →https://doi.org/10.1109/cvprw.2013.6openalex-snapshot
Style Finder: Fine-Grained Clothing Style Detection and Retrieval
inferredcites →https://doi.org/10.1109/iccv.2013.437openalex-snapshot
Paper Doll Parsing: Retrieving Similar Styles to Parse Clothing Items
inferredcites →https://doi.org/10.1109/iccv.2015.127openalex-snapshot
Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network
inferredcites →https://doi.org/10.1109/iccv.2015.382openalex-snapshot
Where to Buy It: Matching Street Clothing Photos in Online Shops
inferredcites →https://doi.org/10.1109/iccv.2015.527openalex-snapshot
Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences
inferredcites →https://doi.org/10.1109/icdm.2014.29openalex-snapshot
Low-Rank Common Subspace for Multi-view Learning
inferredcites →https://doi.org/10.1109/icmew.2013.6618374openalex-snapshot
Generating representative images for landmark by discovering high frequency shooting locations from community-contributed photos
inferredcites →https://doi.org/10.1109/iscas.2013.6571988openalex-snapshot
Mobile multimedia travelogue generation by exploring geo-locations and image tags
inferredcites →https://doi.org/10.1109/iscas31212.2014openalex-snapshot
2014 IEEE International Symposium on Circuits and Systems (ISCAS)
inferredcites →https://doi.org/10.1109/jcai15434.2009openalex-snapshot
2009 International Joint Conference on Artificial Intelligence
inferredcites →https://doi.org/10.1109/tbdata.2016.2541160openalex-snapshot
Personalized Travel Sequence Recommendation on Multi-Source Big Social Media
inferredcites →https://doi.org/10.1109/tip.2015.2462023openalex-snapshot
Missing Modality Transfer Learning via Latent Low-Rank Constraint
inferredcites →https://doi.org/10.1109/tmm.2015.2417506openalex-snapshot
Author Topic Model based Collaborative Filtering for Personalized POI Recommendation
inferredcites →https://doi.org/10.1109/tnnls.2016.2541681openalex-snapshot
Sparseness Analysis in the Pretraining of Deep Neural Networks
inferredcites →https://doi.org/10.1109/tnnls.2017.2712793openalex-snapshot
Convolutional Sparse Autoencoders for Image Classification
inferredcites →https://doi.org/10.1109/wacv.2015.131openalex-snapshot
Runway to Realway: Visual Analysis of Fashion
inferredcites →https://doi.org/10.1142/s0218001493000339openalex-snapshot
SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK
inferredcites →https://doi.org/10.1145/1179352.1141933openalex-snapshot
Color harmonization
inferredcites →https://doi.org/10.1145/1216295.1216368openalex-snapshot
What am I gonna wear?
inferredcites →https://doi.org/10.1145/1358628.1358762openalex-snapshot
Chromirror
inferredcites →https://doi.org/10.1145/1367497.1367539openalex-snapshot
Generating diverse and representative image search results for landmarks
inferredcites →https://doi.org/10.1145/2393347.2393433openalex-snapshot
Hi, magic closet, tell me what to wear!
inferredcites →https://doi.org/10.1145/2393347.2396471openalex-snapshot
Street-to-shop
inferredcites →https://doi.org/10.1145/2461466.2461485openalex-snapshot
Getting the look
inferredcites →https://doi.org/10.1145/2623330.2623332openalex-snapshot
Large scale visual recommendations from street fashion images
inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot
Caffe
inferredcites →https://doi.org/10.1145/2766462.2767755openalex-snapshot
Image-Based Recommendations on Styles and Substitutes
inferredcites →https://doi.org/10.1145/2766959openalex-snapshot
Learning visual similarity for product design with convolutional neural networks
inferredcites →https://doi.org/10.1145/2911996.2912002openalex-snapshot
Matching User Photos to Online Products with Robust Deep Features
inferredcites →https://doi.org/10.1145/2964284.2967182openalex-snapshot
Deep Bi-directional Cross-triplet Embedding for Cross-Domain Clothing Retrieval
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1609/aaai.v29i1.9786openalex-snapshot
Sparse Deep Stacking Network for Image Classification
inferredcites →https://doi.org/10.1609/aaai.v30i1.10157openalex-snapshot
Consensus Style Centralizing Auto-Encoder for Weak Style Classification
inferredcites →https://doi.org/10.1609/aaai.v31i1.10867openalex-snapshot
Multi-View Clustering via Deep Matrix Factorization
inferredcites →https://doi.org/10.24963/ijcai.2017/396openalex-snapshot
From Ensemble Clustering to Multi-View Clustering
inferredcites →https://doi.org/10.24963/ijcai.2017/520openalex-snapshot
Fashion Style Generator
inferredcites →https://doi.org/10.5555/1577069.1577078openalex-snapshot
Distance Metric Learning for Large Margin Nearest Neighbor Classification
inferredcites →https://doi.org/10.5591/978-1-57735-516-8/ijcai11-377openalex-snapshot
Fashion coordinates recommender system using photographs from fashion magazines

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10115-021-01595-zopenalex-snapshot
On augmenting database schemas by latent visual attributes
inferred← citeshttps://doi.org/10.1007/s11042-019-08437-9openalex-snapshot
Comparative study of AR versus video tutorials for minor maintenance operations
inferred← citeshttps://doi.org/10.1007/s13369-020-05112-2openalex-snapshot
Research on Understanding the Effect of Deep Learning on User Preferences
inferred← citeshttps://doi.org/10.1109/access.2021.3137893openalex-snapshot
Deep Learning Approaches for Fashion Knowledge Extraction From Social Media: A Review
inferred← citeshttps://doi.org/10.1109/iconeei55709.2022.9972332openalex-snapshot
Image Retrieval of Indonesian Batik Clothing Based on Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/tcsvt.2020.3034981openalex-snapshot
Where to Look and How to Describe: Fashion Image Retrieval With an Attentional Heterogeneous Bilinear Network
inferred← citeshttps://doi.org/10.1109/tip.2019.2948472openalex-snapshot
Deep Adversarial Metric Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3057892openalex-snapshot
Deep Learning for Fashion Style Generation
inferred← citeshttps://doi.org/10.1109/tr.2021.3066170openalex-snapshot
Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding
inferred← citeshttps://doi.org/10.1145/3326332openalex-snapshot
Interpretable Partitioned Embedding for Intelligent Multi-item Fashion Outfit Composition
inferred← citeshttps://doi.org/10.1145/3362161openalex-snapshot
Unsupervised Learning of Human Action Categories in Still Images with Deep Representations
inferred← citeshttps://doi.org/10.1145/3368071openalex-snapshot
An End-to-End Attention-Based Neural Model for Complementary Clothing Matching
inferred← citeshttps://doi.org/10.1145/3447239openalex-snapshot
Fashion Meets Computer Vision
inferred← citeshttps://doi.org/10.22570/ergodesignhci.v8i1.1437openalex-snapshot
EXPERIÊNCIA DE COMPRA ONLINE: EXPLORAÇÕES A PARTIR DO DESIGN THINKING
inferred← citeshttps://doi.org/10.3390/app112211024openalex-snapshot
EnCaps: Clothing Image Classification Based on Enhanced Capsule Network
inferred← citeshttps://doi.org/10.3390/app13169433openalex-snapshot
Big Data and AI-Driven Product Design: A Survey
inferred← citeshttps://doi.org/10.3390/s22135002openalex-snapshot
Would Your Clothes Look Good on Me? Towards Transferring Clothing Styles with Adaptive Instance Normalization
inferred← citeshttps://doi.org/10.48550/arxiv.2003.13988openalex-snapshot
Fashion Meets Computer Vision: A Survey
inferred← citeshttps://doi.org/10.48550/arxiv.2109.11424openalex-snapshot
Big Data driven Product Design: A Survey
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