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An End-to-End Attention-Based Neural Model for Complementary Clothing Matching

https://doi.org/10.1145/3368071
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-01240-3_45openalex-snapshot
Graininess-Aware Deep Feature Learning for Pedestrian Detection
inferredcites →https://doi.org/10.1007/s11042-015-2735-xopenalex-snapshot
Video parsing via spatiotemporally analysis with images
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
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.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2016.541openalex-snapshot
Learning Deep Structure-Preserving Image-Text Embeddings
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.667openalex-snapshot
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
inferredcites →https://doi.org/10.1109/tcyb.2017.2718579openalex-snapshot
Key Frame Extraction in the Summary Space
inferredcites →https://doi.org/10.1109/tip.2017.2695887openalex-snapshot
A General Framework for Edited Video and Raw Video Summarization
inferredcites →https://doi.org/10.1109/tkde.2019.2906190openalex-snapshot
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation
inferredcites →https://doi.org/10.1109/tmm.2017.2690144openalex-snapshot
Mining Fashion Outfit Composition Using an End-to-End Deep Learning Approach on Set Data
inferredcites →https://doi.org/10.1145/2393347.2393433openalex-snapshot
Hi, magic closet, tell me what to wear!
inferredcites →https://doi.org/10.1145/2623330.2623332openalex-snapshot
Large scale visual recommendations from street fashion images
inferredcites →https://doi.org/10.1145/2766462.2767755openalex-snapshot
Image-Based Recommendations on Styles and Substitutes
inferredcites →https://doi.org/10.1145/2996463openalex-snapshot
Fixation Prediction through Multimodal Analysis
inferredcites →https://doi.org/10.1145/3077136.3080797openalex-snapshot
Attentive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3109859.3109890openalex-snapshot
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
inferredcites →https://doi.org/10.1145/3115932openalex-snapshot
Structure-Aware Multimodal Feature Fusion for RGB-D Scene Classification and Beyond
inferredcites →https://doi.org/10.1145/3123266.3123314openalex-snapshot
NeuroStylist
inferredcites →https://doi.org/10.1145/3132847.3132926openalex-snapshot
Neural Attentive Session-based Recommendation
inferredcites →https://doi.org/10.1145/3152114openalex-snapshot
Deep Bidirectional Cross-Triplet Embedding for Online Clothing Shopping
inferredcites →https://doi.org/10.1145/3177745openalex-snapshot
Paying More Attention to Saliency
inferredcites →https://doi.org/10.1145/3184745openalex-snapshot
DeepProduct
inferredcites →https://doi.org/10.1145/3209978.3209996openalex-snapshot
Neural Compatibility Modeling with Attentive Knowledge Distillation
inferredcites →https://doi.org/10.1609/aaai.v32i1.11839openalex-snapshot
Compatibility Family Learning for Item Recommendation and Generation
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1807.03133openalex-snapshot
Outfit Generation and Style Extraction via Bidirectional LSTM and Autoencoder

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-18817-6_1openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1016/j.comcom.2021.10.022openalex-snapshot
Learning compatibility knowledge for outfit recommendation with complementary clothing matching
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117333openalex-snapshot
Neural stylist: Towards online styling service
inferred← citeshttps://doi.org/10.1016/j.ins.2020.08.105openalex-snapshot
Attention-adaptive and deformable convolutional modules for dynamic scene deblurring
inferred← citeshttps://doi.org/10.1016/j.joi.2024.101561openalex-snapshot
An approach for identifying complementary patents based on deep learning
inferred← citeshttps://doi.org/10.1108/jfmm-10-2022-0208openalex-snapshot
How to discover consumer attention to design topics of fast fashion: a topic modeling approach
inferred← citeshttps://doi.org/10.1109/aicera/icis59538.2023.10420320openalex-snapshot
Application of Internet of Things and Cognitive Design Protocol for Clothing Pattern Design
inferred← citeshttps://doi.org/10.1109/icftic57696.2022.10075270openalex-snapshot
A Complementary Product Recommendation Method Based on Modality Graph
inferred← citeshttps://doi.org/10.1109/qrs-c60940.2023.00082openalex-snapshot
Outfit Compatibility Model with Multi-Modal Semantic Interaction Learning
inferred← citeshttps://doi.org/10.1109/tce.2023.3285880openalex-snapshot
Toward Fashion Intelligence in the Big Data Era: State-of-the-Art and Future Prospects
inferred← citeshttps://doi.org/10.1145/3474085.3475392openalex-snapshot
Multimodal Compatibility Modeling via Exploring the Consistent and Complementary Correlations
inferred← citeshttps://doi.org/10.1145/3576925openalex-snapshot
Multi-level Attention-based Domain Disentanglement for BCDR
inferred← citeshttps://doi.org/10.1145/3627100openalex-snapshot
Computational Technologies for Fashion Recommendation: A Survey
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3887154/v1openalex-snapshot
Deep Learning based Swapping Generative Framework for Rapid Cloth Retrieval
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