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Simultaneously localize, segment and rank the camouflaged objects
Camouflage is a key defence mechanism across species that is critical to survival. Common
camouflage include background matching, imitating the color and pattern of the …
camouflage include background matching, imitating the color and pattern of the …
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 …
Dense attention fluid network for salient object detection in optical remote sensing images
Despite the remarkable advances in visual saliency analysis for natural scene images
(NSIs), salient object detection (SOD) for optical remote sensing images (RSIs) still remains …
(NSIs), salient object detection (SOD) for optical remote sensing images (RSIs) still remains …
Toward deeper understanding of camouflaged object detection
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 …
way, camouflage acts as a key defence mechanism across species that is critical to survival …
Bi-directional object-context prioritization learning for saliency ranking
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 …
would typically shift their attention over different objects of a scene based on their degrees of …
Salient objects in clutter
In this paper, we identify and address a serious design bias of existing salient object
detection (SOD) datasets, which unrealistically assume that each image should contain at …
detection (SOD) datasets, which unrealistically assume that each image should contain at …
Salient object detection for point clouds
This paper researches the unexplored task—point cloud salient object detection (SOD).
Differing from SOD for images, we find the attention shift of point clouds may provoke …
Differing from SOD for images, we find the attention shift of point clouds may provoke …
Advancing saliency ranking with human fixations: Dataset models and benchmarks
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 …
aiming not only to identify salient objects within images but also to rank them based on their …
Instance-level relative saliency ranking with graph reasoning
Conventional salient object detection models cannot differentiate the importance of different
salient objects. Recently, two works have been proposed to detect saliency ranking by …
salient objects. Recently, two works have been proposed to detect saliency ranking by …
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 …