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Found 6 papers, 3 papers with code
Outfit Completion via Conditional Set Transformation
In this paper, we formulate the outfit completion problem as a set retrieval task and propose a novel framework for solving this problem.
Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning
In this study, we propose a technology called the Fashion Intelligence System based on the visual-semantic embedding (VSE) model to quantify abstract and complex expressions unique to fashion, such as ''casual,'' ''adult-casual,'' and ''office-casual,'' and to support users' understanding of fashion.
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
This paper addresses the problem of set-to-set matching, which involves matching two different sets of items based on some criteria, especially in the case of high-dimensional items like images.
Modeling Kelvin-Helmholtz instability-driven turbulence with hybrid simulations of Alfvénic turbulence
Magnetospheric Multiscale (MMS) observations of plasma turbulence generated by a Kelvin-Helmholtz (KH) event at the Earth's magnetopause are compared with a high-resolution two-dimensional (2D) hybrid direct numerical simulation (DNS) of decaying plasma turbulence driven by large-scale balanced Alfv\'enic fluctuations.
Earth and Planetary Astrophysics Solar and Stellar Astrophysics
Exchangeable deep neural networks for set-to-set matching and learning
Matching two different sets of items, called heterogeneous set-to-set matching problem, has recently received attention as a promising problem.
Outfit Generation and Style Extraction via Bidirectional LSTM and Autoencoder
In a fashion item prediction task (missing prediction task), the proposed model outperformed a baseline method.
