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20182023
most citedA Deep-Learning-Based Fashion Attributes Detection Model

16 citations · 27 across the 5 of their papers we have counts for

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cs.CV2023

Fashionpedia-Ads: Do Your Favorite Advertisements Reveal Your Fashion Taste?

Mengyun Shi, Claire Cardie, Serge Belongie

Consumers are exposed to advertisements across many different domains on the internet, such as fashion, beauty, car, food, and others. On the other hand, fashion represents second…

cs.CV2023

Fashionpedia-Taste: A Dataset towards Explaining Human Fashion Taste

Mengyun Shi, Serge Belongie, Claire Cardie

Existing fashion datasets do not consider the multi-facts that cause a consumer to like or dislike a fashion image. Even two consumers like a same fashion image, they could like th…

cs.CV2020★ 7 cited

Using Artificial Intelligence to Analyze Fashion Trends

Mengyun Shi, Van Dyk Lewis

Analyzing fashion trends is essential in the fashion industry. Current fashion forecasting firms, such as WGSN, utilize the visual information from around the world to analyze and…

cs.CV2020★ 4 cited

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset

Menglin Jia, Mengyun Shi, Mikhail Sirotenko +5

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-graine…

cs.CV2018★ 16 cited

A Deep-Learning-Based Fashion Attributes Detection Model

Menglin Jia, Yichen Zhou, Mengyun Shi +1

Analyzing fashion attributes is essential in the fashion design process. Current fashion forecasting firms, such as WGSN utilizes information from all around the world (from fashio…