With the development of Internet technology and the popularity of digital devices, Content-
Based Image Retrieval (CBIR) has been quickly developed and applied in various fields …

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 …

Object models are gradually progressing from predicting just category labels to providing
detailed descriptions of object instances. This motivates the need for large datasets which …

Human-centric perceptions (eg, pose estimation, human parsing, pedestrian detection,
person re-identification, etc.) play a key role in industrial applications of visual models. While …

Understanding fashion images has been advanced by benchmarks with rich annotations
such as DeepFashion, whose labels include clothing categories, landmarks, and consumer …

Object detection has been expanded from a limited number of categories to open
vocabulary. Moving forward, a complete intelligent vision system requires understanding …

Conversational interfaces for the detail-oriented retail fashion domain are more natural,
expressive, and user friendly than classical keyword-based search interfaces. In this paper …

Human-centric perceptions include a variety of vision tasks, which have widespread
industrial applications, including surveillance, autonomous driving, and the metaverse. It is …

While semantic segmentation has seen tremendous improvements in the past, there are still
significant labeling efforts necessary and the problem of limited generalization to classes …

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-grained …