Deep learning approaches for fashion knowledge extraction from social media: a review
Fashion knowledge encourages people to properly dress and faces not only physiological
necessity of users, but also the requirement of social practices and activities. It usually …
necessity of users, but also the requirement of social practices and activities. It usually …
Product1m: Towards weakly supervised instance-level product retrieval via cross-modal pretraining
Nowadays, customer's demands for E-commerce are more diversified, which introduces
more complications to the product retrieval industry. Previous methods are either subject to …
more complications to the product retrieval industry. Previous methods are either subject to …
Big data and digital design models for fashion design
L Zhao, S Liu, X Zhao - Journal of Engineered Fibers and …, 2021 - journals.sagepub.com
The demand for fashion, and for virtual fitting and personalized fashion among customers, is
changing the design and consumption of fashion. To meet such challenges, fashion design …
changing the design and consumption of fashion. To meet such challenges, fashion design …
Learning similarity conditions without explicit supervision
Many real-world tasks require models to compare images along multiple similarity
conditions (eg similarity in color, category or shape). Existing methods often reason about …
conditions (eg similarity in color, category or shape). Existing methods often reason about …
Fashion analysis and understanding with artificial intelligence
As handling fashion big data with Artificial Intelligence (AI) has become exciting challenges
for computer scientists, fashion studies have received increasing attention in computer …
for computer scientists, fashion studies have received increasing attention in computer …
Deepstore: In-storage acceleration for intelligent queries
Recent advancements in deep learning techniques facilitate intelligent-query support in
diverse applications, such as content-based image retrieval and audio texturing. Unlike …
diverse applications, such as content-based image retrieval and audio texturing. Unlike …
Category-aware multimodal attention network for fashion compatibility modeling
Fashion compatibility modeling, which is used to estimate the matching degree of a given
set of fashion items, has received increasing attention in recent years. However, existing …
set of fashion items, has received increasing attention in recent years. However, existing …
Geo-localization via ground-to-satellite cross-view image retrieval
The large variation of viewpoint and irrelevant content around the target always hinder
accurate image retrieval and its subsequent tasks. In this paper, we investigate an extremely …
accurate image retrieval and its subsequent tasks. In this paper, we investigate an extremely …
A concise yet effective model for non-aligned incomplete multi-view and missing multi-label learning
In reality, learning from multi-view multi-label data inevitably confronts three challenges:
missing labels, incomplete views, and non-aligned views. Existing methods mainly concern …
missing labels, incomplete views, and non-aligned views. Existing methods mainly concern …
Where to look and how to describe: Fashion image retrieval with an attentional heterogeneous bilinear network
Fashion products typically feature in compositions of a variety of styles at different clothing
parts. In order to distinguish images of different fashion products, we need to extract both …
parts. In order to distinguish images of different fashion products, we need to extract both …