A2TPNet: Alternate Steered Attention and Trapezoidal Pyramid Fusion Network for RGB-D Salient Object Detection
RGB-D salient object detection (SOD) aims at locating the most eye-catching object in visual input by fusing complementary information of RGB modality and depth modality. Most of the existing RGB-D SOD methods integrate multi-modal features to generate the saliency map indiscriminately, ignoring the...
Main Authors: | Songsong Duan, Xiuju Gao, Chenxing Xia, Bin Ge |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/13/1968 |
Similar Items
-
GSCINet: Gradual Shrinkage and Cyclic Interaction Network for Salient Object Detection
by: Yanguang Sun, et al.
Published: (2022-06-01) -
Pyramid Spatial Context Features for Salient Object Detection
by: Hui Li
Published: (2020-01-01) -
Salient region detection: an integration approach based on image pyramid and region property
by: Lingfu Kong, et al.
Published: (2015-02-01) -
Salient Semantic Segmentation Based on RGB-D Camera for Robot Semantic Mapping
by: Lihe Hu, et al.
Published: (2023-03-01) -
Hybrid-Attention Network for RGB-D Salient Object Detection
by: Yuzhen Chen, et al.
Published: (2020-08-01)