Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …

Conditioned and composed image retrieval extend CBIR systems by combining a query
image with an additional text that expresses the intent of the user, describing additional …

Image-text matching plays a critical role in bridging the vision and language, and great
progress has been made by exploiting the global alignment between image and sentence …

Cross-modal matching, which aims to establish the correspondence between two different
modalities, is fundamental to a variety of tasks such as cross-modal retrieval and vision-and …

Many industries, including healthcare, banking, the auto industry, education, and retail, have
already undergone significant changes because of artificial intelligence (AI). Business-to …

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 …

Image–text matching is a crucial branch in multimedia retrieval which relies on learning inter-
modal correspondences. Most existing methods focus on global or local correspondence …

Exploiting fine-grained correspondence and visual-semantic alignments has shown great
potential in image-text matching. Generally, recent approaches first employ a cross-modal …

Clothes category classification and attribute recognition have achieved distinguished
success with the development of deep learning. People have found that landmark detection …

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 …