Deepfashion2: A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images
Understanding fashion images has been advanced by benchmarks with rich annotations
such as DeepFashion, whose labels include clothing categories, landmarks, and consumer …
such as DeepFashion, whose labels include clothing categories, landmarks, and consumer …
Image-to-image translation for cross-domain disentanglement
A Gonzalez-Garcia… - Advances in neural …, 2018 - proceedings.neurips.cc
Deep image translation methods have recently shown excellent results, outputting high-
quality images covering multiple modes of the data distribution. There has also been …
quality images covering multiple modes of the data distribution. There has also been …
Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review
Many industries, including healthcare, banking, the auto industry, education, and retail, have
already undergone significant changes because of artificial intelligence (AI). Business-to …
already undergone significant changes because of artificial intelligence (AI). Business-to …
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 …
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 …
Scatternet: A deep subjective similarity model for visual analysis of scatterplots
Similarity measuring methods are widely adopted in a broad range of visualization
applications. In this work, we address the challenge of representing human perception in the …
applications. In this work, we address the challenge of representing human perception in the …
Fine-grained fashion similarity prediction by attribute-specific embedding learning
This paper strives to predict fine-grained fashion similarity. In this similarity paradigm, one
should pay more attention to the similarity in terms of a specific design/attribute between …
should pay more attention to the similarity in terms of a specific design/attribute between …
Boosting Fine-grained Fashion Retrieval with Relational Knowledge Distillation
Fine-grained fashion retrieval (FGFR) aims to retrieve fashion items from a database that
match specific and detailed attributes of a query image. This task requires a model to discern …
match specific and detailed attributes of a query image. This task requires a model to discern …
Fine-grained fashion similarity learning by attribute-specific embedding network
This paper strives to learn fine-grained fashion similarity. In this similarity paradigm, one
should pay more attention to the similarity in terms of a specific design/attribute among …
should pay more attention to the similarity in terms of a specific design/attribute among …