In computer vision, anomaly detection (AD) is a challenging task. AD presents additional
difficulties, especially in the realm of medical imaging, for several reasons, one of which …

Recently, diffusion models have achieved remarkable success in generating tasks, including
image and audio generation. However, like other generative models, diffusion models are …

Embedding & MLP has become a paradigm for modern large-scale recommendation
system. However, this paradigm suffers from the cold-start problem which will seriously …

Agriculture has a crucial role in both the economy and food supply. However, the frequent
occurrence of plant diseases can have a significant negative influence on the production of …

Given a corpus of documents, hierarchical topic detection aims to learn a topic hierarchy
where the topics are more general at high levels of the hierarchy and they become more …

ABSTRACT Synthetic Aperture Radar (SAR) Ship Detection (SSD) is an important
application, and it has been widely used in commercial and military fields. With the …

Abnormal electricity usage detection is the process of discovering and diagnosing abnormal
electricity usage behavior by monitoring and analyzing the electricity usage in the power …

In recent years, numerous studies have applied deep reinforcement learning (DRL)
algorithms to vision-guided unmanned aerial systems. However, DRL is not good at training …

E-health systems rely on information and communication technology to support and improve
various aspects of health services, delivery, and management. The success of artificial …