Search Results for author:
Found 5 papers, 2 papers with code
Fashionpedia-Ads: Do Your Favorite Advertisements Reveal Your Fashion Taste?
Does ads from other domains infer their fashion taste as well?
Fashionpedia-Taste: A Dataset towards Explaining Human Fashion Taste
Existing fashion datasets do not consider the multi-facts that cause a consumer to like or dislike a fashion image.
Using Artificial Intelligence to Analyze Fashion Trends
To improve the efficiency of data analysis of such image-based information and lower the cost of analyzing fashion images, this study proposes a data-driven quantitative abstracting approach using an artificial intelligence (A. I.)
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
In this work we explore the task of instance segmentation with attribute localization, which unifies instance segmentation (detect and segment each object instance) and fine-grained visual attribute categorization (recognize one or multiple attributes).
A Deep-Learning-Based Fashion Attributes Detection Model
Such information analyzing process is called abstracting, which recognize similarities or differences across all the garments and collections.
