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 …
locate and distinguish the disguised target in complex backgrounds by imitating the human …
Specificity-preserving RGB-D saliency detection
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 …
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
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 …
benefiting conventional RGB SOD with extra depth information. However, existing RGB-D …
Fine-grained audible video description
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 …
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 …
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 …
the identification of objects that closely blend in with their surrounding background …