Simultaneously localize, segment and rank the camouflaged objects

Y Lv, J Zhang, Y Dai, A Li, B Liu… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …

HyperSOR: context-aware graph hypernetwork for salient object ranking

M Qiao, M Xu, L Jiang, P Lei, S Wen… - … on Pattern Analysis …, 2024 - ieeexplore.ieee.org
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 …

Dense attention fluid network for salient object detection in optical remote sensing images

Q Zhang, R Cong, C Li, MM Cheng… - … on Image Processing, 2020 - ieeexplore.ieee.org
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 …

Toward deeper understanding of camouflaged object detection

Y Lv, J Zhang, Y Dai, A Li, N Barnes… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
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 …

Bi-directional object-context prioritization learning for saliency ranking

X Tian, K Xu, X Yang, L Du, B Yin… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …

Salient objects in clutter

DP Fan, J Zhang, G Xu, MM Cheng… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
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 …

Salient object detection for point clouds

S Fan, W Gao, G Li - European conference on computer vision, 2022 - Springer
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 …

Advancing saliency ranking with human fixations: Dataset models and benchmarks

B Deng, S Song, AP French… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

Instance-level relative saliency ranking with graph reasoning

N Liu, L Li, W Zhao, J Han… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Conventional salient object detection models cannot differentiate the importance of different
salient objects. Recently, two works have been proposed to detect saliency ranking by …

Rethinking object saliency ranking: A novel whole-flow processing paradigm

M Song, L Li, D Wu, W Song… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …