Preys in the wild evolve to be camouflaged to avoid being recognized by predators. In this
way, camouflage acts as a key defence mechanism across species that is critical to survival …

The saliency ranking task is recently proposed to study the visual behavior that humans
would typically shift their attention over different objects of a scene based on their degrees of …

Although deep salient object detection (SOD) has achieved remarkable progress, deep SOD
models are extremely data-hungry, requiring large-scale pixel-wise annotations to deliver …

Existing salient object detection methods are capable of predicting binary maps that
highlight visually salient regions. However, these methods are limited in their ability to …

Traffic signs are indispensable fixtures in modern transportation activities, which are
installed along the roadside or over the pathway to provide important prompt messages. The …

Saliency object ranking (SOR) has attracted significant attention recently. Previous methods
usually failed to explicitly explore the saliency degree-related relationships between objects …

Saliency ranking detection (SRD) has emerged as a challenging task in computer vision
aiming not only to identify salient objects within images but also to rank them based on their …

Salient object ranking (SOR) aims to segment salient objects in an image and
simultaneously predict their saliency rankings, according to the shifted human attention over …

The human visual system has limited capacity in simultaneously processing multiple visual
inputs. Consequently, humans rely on shifting their attention from one location to another …

Salient Object Ranking (SOR) is the process of predicting the order of an observer's
attention to objects when viewing a complex scene. Existing SOR methods primarily focus …