Rethinking camouflaged object detection: Models and datasets

H Bi, C Zhang, K Wang, J Tong… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Camouflaged object detection (COD) is an emerging visual detection task, which aims to
locate and distinguish the disguised target in complex backgrounds by imitating the human …

Specificity-preserving RGB-D saliency detection

T Zhou, H Fu, G Chen, Y Zhou… - Proceedings of the …, 2021 - openaccess.thecvf.com
RGB-D saliency detection has attracted increasing attention, due to its effectiveness and the
fact that depth cues can now be conveniently captured. Existing works often focus on …

Depth quality-inspired feature manipulation for efficient RGB-D salient object detection

W Zhang, GP Ji, Z Wang, K Fu, Q Zhao - Proceedings of the 29th ACM …, 2021 - dl.acm.org
RGB-D salient object detection (SOD) recently has attracted increasing research interest by
benefiting conventional RGB SOD with extra depth information. However, existing RGB-D …

Fine-grained audible video description

X Shen, D Li, J Zhou, Z Qin, B He… - Proceedings of the …, 2023 - openaccess.thecvf.com
We explore a new task for audio-visual-language modeling called fine-grained audible
video description (FAVD). It aims to provide detailed textual descriptions for the given …

Attention-based neighbor selective aggregation network for camouflaged object detection

Y Cheng, HZ Hao, Y Ji, Y Li… - 2022 International Joint …, 2022 - ieeexplore.ieee.org
Camouflaged Object Detection (COD) aims to discover objects that are finely disguised in
the environment. Its challenge is that the targets generally have similar textures and colors to …

[HTML][HTML] Diffusion Model for Camouflaged Object Segmentation with Frequency Domain

W Cai, W Gao, Y Ding, X Jiang, X Wang, X Di - Electronics, 2024 - mdpi.com
The task of camouflaged object segmentation (COS) is a challenging endeavor that entails
the identification of objects that closely blend in with their surrounding background …