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 …

Cross-domain images have been witnessed in an increasing number of applications. This
new trend triggers demands for cross-domain image retrieval (CDIR), which finds images in …

The fashion industry is on the verge of an unprecedented change. The implementation of
machine learning, computer vision, and artificial intelligence (AI) in fashion applications is …

We tackle the problem of analyzing and retrieving technical drawings. First, we introduce
DeepPatent, a new large-scale dataset for recognition and retrieval of design patent …

How important is it for training and evaluation sets to not have class overlap in image
retrieval? We revisit Google Landmarks v2 clean the most popular training set by identifying …

Consumer-to-shop clothes retrieval refers to the problem of matching photos taken by
customers with their counterparts in the shop. Due to some problems, such as a large …

Cross-domain clothing retrieval is an active research topic because of its massive potential
applications in fashion industry. Due to the large number of garment categories or styles …

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 …

Instance-level image retrieval in fashion industry is a challenging issue owing to its
increasing importance in real-scenario visual fashion search. Cross-domain fashion retrieval …

Fashion retrieval is a challenging task of finding an exact match for fashion items contained
within an image. Difficulties arise from the fine-grained nature of clothing items, very large …