Hybrid-attention network for RGB-D salient object detection
Y Chen, W Zhou - Applied Sciences, 2020 - mdpi.com
Depth information has been widely used to improve RGB-D salient object detection by
extracting attention maps to determine the position information of objects in an image …
extracting attention maps to determine the position information of objects in an image …
Depth quality-inspired feature manipulation for efficient rgb-d and video salient object detection
Recently CNN-based RGB-D salient object detection (SOD) has obtained significant
improvement on detection accuracy. However, existing models often fail to perform well in …
improvement on detection accuracy. However, existing models often fail to perform well in …
Guided residual network for RGB-D salient object detection with efficient depth feature learning
J Wang, S Chen, X Lv, X Xu, X Hu - The Visual Computer, 2022 - Springer
RGB-D salient object detection aims at identifying the most attractive parts from a RGB
image and its corresponding depth image, which has been widely applied in many computer …
image and its corresponding depth image, which has been widely applied in many computer …
Cross-modality discrepant interaction network for RGB-D salient object detection
The popularity and promotion of depth maps have brought new vigor and vitality into salient
object detection (SOD), and a mass of RGB-D SOD algorithms have been proposed, mainly …
object detection (SOD), and a mass of RGB-D SOD algorithms have been proposed, mainly …
Bilateral attention network for RGB-D salient object detection
RGB-D salient object detection (SOD) aims to segment the most attractive objects in a pair of
cross-modal RGB and depth images. Currently, most existing RGB-D SOD methods focus on …
cross-modal RGB and depth images. Currently, most existing RGB-D SOD methods focus on …
RGB-D Salient Object Detection via Joint Learning and Multi-feature Fusion
P Chen, BH Li - … on Image Processing, Computer Vision and …, 2022 - ieeexplore.ieee.org
The detection performance of RGB salient object detection (SOD) needs to be improved
when faced with complex backgrounds, and depth map can provide RGB map with spatial …
when faced with complex backgrounds, and depth map can provide RGB map with spatial …
Data-level recombination and lightweight fusion scheme for RGB-D salient object detection
Existing RGB-D salient object detection methods treat depth information as an independent
component to complement RGB and widely follow the bistream parallel network architecture …
component to complement RGB and widely follow the bistream parallel network architecture …
PSINet: Progressive Saliency Iteration Network for RGB-D Salient Object Detection
RGB-D Salient Object Detection (RGB-D SOD) is a pixel-level dense prediction task that can
highlight the prominent object in the scene by combining color information and depth …
highlight the prominent object in the scene by combining color information and depth …
Multi-modal weights sharing and hierarchical feature fusion for RGBD salient object detection
F Xiao, B Li, Y Peng, C Cao, K Hu, X Gao - IEEE Access, 2020 - ieeexplore.ieee.org
Salient object detection (SOD) aims to identify and locate the most attractive regions in an
image, which has been widely used in various vision tasks. Recent years, with the …
image, which has been widely used in various vision tasks. Recent years, with the …
Attention-guided multi-modality interaction network for RGB-D salient object detection
R Wang, F Wang, Y Su, J Sun, F Sun, H Li - ACM Transactions on …, 2023 - dl.acm.org
The past decade has witnessed great progress in RGB-D salient object detection (SOD).
However, there are two bottlenecks that limit its further development. The first one is low …
However, there are two bottlenecks that limit its further development. The first one is low …