Global terrorist threats and illegal migration have intensified concerns for the security of
citizens, and every effort is made to exploit all available technological advances to prevent …

In recent years, image annotation has attracted extensive attention due to the explosive
growth of image data. With the capability of describing images at the semantic level, image …

Multi-label learning tasks usually encounter the problem of the class-imbalance, where
samples and their corresponding labels are non-uniformly distributed over multi-label data …

Image captioning is a process of automatically describing an image with one or more natural
language sentences. In recent years, image captioning has witnessed rapid progress, from …

Fuzzy Petri nets (FPNs) are a promising modeling tool for knowledge representation and
reasoning of rule-based expert systems. However, there exist limitations in representing …

Automatic image annotation (AIA) plays a vital role in dealing with the exponentially growing
digital images. Image annotation helps in effective retrieval, organization, classification, auto …

Existing methods for remote sensing image captioning tend to describe a remote sensing
image using generic language that lacks specific information about object counts. To …

In order to address the problems of time-consuming, low accuracy and poor convergence
effect of traditional image automatic annotation algorithm, an Automatic annotation algorithm …

In team sports training scenes, it is common to have many players on the court, each with his
own ball performing different actions. Our goal is to detect all players in the handball court …

Multi-label image recognition is a fundamental but challenging computer vision and
multimedia task. Great progress has been achieved by exploiting label correlations among …