Deep metric learning has become a key component of cross-modal retrieval. By learning to
pull the features of matched instances closer while pushing the features of mismatched …

Zero-shot learning (ZSL) aims to identify novel categories via transferring shared semantic
knowledge from seen classes to unseen ones. Since labeled samples of novel categories …

Deep Neural Networks (DNNs) have primarily been demonstrated to be successful when
large-scale labeled data are available. However, DNNs usually fail when tasked in few …

Zero-Shot Learning (ZSL), which aims at automatically recognizing unseen objects, is a
promising learning paradigm to understand new real-world knowledge for machines …

Knowledge discovery and utilization are two essential cognitive processes that enable
humans to understand the world and extract new insights from their surroundings. These …

Zero-Shot Learning has been a highlighted research topic in both vision and language
areas. Recently, most existing methods adopt structured knowledge information to model …

Zero-shot object detection (ZSD) is dedicated to the task of precisely localizing and
identifying unfamiliar objects that have not been encountered before. In this paper, a …

Large language models (LLMs) have shown amazing capabilities in knowledge
memorization and present. However, when it comes to domain-specific knowledge and …