Rethinking object saliency ranking: A novel whole-flow processing paradigm
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 …
highlight visually salient regions. However, these methods are limited in their ability to …
HyperSOR: Context-aware graph hypernetwork for salient object ranking
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 …
simultaneously predict their saliency rankings, according to the shifted human attention over …
Leverage Task Context for Object Affordance Ranking
Intelligent agents accomplish different tasks by utilizing various objects based on their
affordance, but how to select appropriate objects according to task context is not well …
affordance, but how to select appropriate objects according to task context is not well …
A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking
Video salient object ranking aims to simulate the human attention mechanism by
dynamically prioritizing the visual attraction of objects in a scene over time. Despite its …
dynamically prioritizing the visual attraction of objects in a scene over time. Despite its …
Hierarchical Weighting Network with Depth Cues for Real-Time Video Salient Object Detection
X Mengnan, G Pan, Z Ziyan… - 2022 19th International …, 2022 - ieeexplore.ieee.org
Video salient object detection (VSOD) is an essential component in computer vision tasks,
and depth information can provide critical spatial contour information. However, there is a …
and depth information can provide critical spatial contour information. However, there is a …