Low-shot learning with imprinted weights
Human vision is able to immediately recognize novel visual categories after seeing just one
or a few training examples. We describe how to add a similar capability to ConvNet …
or a few training examples. We describe how to add a similar capability to ConvNet …
Learning type-aware embeddings for fashion compatibility
Outfits in online fashion data are composed of items of many different types (eg top, bottom,
shoes) that share some stylistic relationship with one another. A representation for building …
shoes) that share some stylistic relationship with one another. A representation for building …
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 …
Tryongan: Body-aware try-on via layered interpolation
KM Lewis, S Varadharajan… - ACM Transactions on …, 2021 - dl.acm.org
Given a pair of images---target person and garment on another person---we automatically
generate the target person in the given garment. Previous methods mostly focused on …
generate the target person in the given garment. Previous methods mostly focused on …
Learning attribute representations with localization for flexible fashion search
In this paper, we investigate ways of conducting a detailed fashion search using query
images and attributes. A credible fashion search platform should be able to (1) find images …
images and attributes. A credible fashion search platform should be able to (1) find images …
Fashion retrieval via graph reasoning networks on a similarity pyramid
Matching clothing images from customers and online shop** stores has rich applications
in E-commerce. Existing algorithms encoded an image as a global feature vector and …
in E-commerce. Existing algorithms encoded an image as a global feature vector and …
A Survey on Fashion Image Retrieval
Fashion is the manner in which we introduce ourselves to the world and has become
perhaps the biggest industry on the planet. In recent years, fashion-related research has …
perhaps the biggest industry on the planet. In recent years, fashion-related research has …
Efficient multi-attribute similarity learning towards attribute-based fashion search
In this paper, we propose an attribute-based query & retrieval system designed for fashion
products. Our system addresses the problem of carrying out fashion searches by the query …
products. Our system addresses the problem of carrying out fashion searches by the query …
Localized triplet loss for fine-grained fashion image retrieval
A D'Innocente, N Garg, Y Zhang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Fashion retrieval methods aim at learning a clothing specific embedding space where
images are ranked based on their global visual similarity with a given query. However …
images are ranked based on their global visual similarity with a given query. However …
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 …