Results 31 to 40 of about 1,634 (141)

COTS: A Multipurpose RGB-D Dataset for Saliency and Image Manipulation Applications

IEEE Access, 2021
Many modern computer vision systems include several modules that perform different processing operations packaged as a single pipeline architecture. This generally introduces a challenge in the evaluation process since most datasets provide evaluation ...
Dylan Seychell, Carl James Debono, Mark Bugeja, Jeremy Borg, Matthew Sacco   +4 more
doaj   +1 more source

Hybrid Attention Mechanism and Forward Feedback Unit for RGB-D Salient Object Detection

IEEE Access, 2023
RGB-D saliency object detection (SOD) is an important pre-processing operation for various computer vision tasks and has received much attention in recent years.
Haitang Li, Yibo Han, Peiling Li, Xiaohui Li, Lijuan Shi   +4 more
doaj   +1 more source

Compensated Attention Feature Fusion and Hierarchical Multiplication Decoder Network for RGB-D Salient Object Detection

Remote Sensing, 2023
Multi-modal feature fusion and effectively exploiting high-level semantic information are critical in salient object detection (SOD). However, the depth maps complementing RGB image fusion strategies cannot supply effective semantic information when the ...
Zhihong Zeng, Haijun Liu, Fenglei Chen, Xiaoheng Tan   +3 more
doaj   +1 more source

Middle-level Fusion for Lightweight RGB-D Salient Object Detection

CoRR, 2021
Most existing lightweight RGB-D salient object detection (SOD) models are based on two-stream structure or single-stream structure. The former one first uses two sub-networks to extract unimodal features from RGB and depth images, respectively, and then fuses them for SOD.
Nianchang Huang, Qiang Zhang 0020, Jungong Han   +2 more
openaire   +2 more sources

RGB-D Salient Object Detection with Cross-Modality Modulation and Selection [PDF]

, 2020
We present an effective method to progressively integrate and refine the cross-modality complementarities for RGB-D salient object detection (SOD). The proposed network mainly solves two challenging issues: 1) how to effectively integrate the complementary information from RGB image and its corresponding depth map, and 2) how to adaptively select more ...
Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu 0001, Chen Change Loy   +4 more
openaire   +2 more sources

Lightweight multi-level feature difference fusion network for RGB-D-T salient object detection

Journal of King Saud University: Computer and Information Sciences, 2023
In recent years, bimodal salient object detection has developed rapidly. In view of the advanced performance of their robustness to extreme situations such as background similarity and illumination variation, researchers began to focus on RGB-Depth ...
Kechen Song, Han Wang, Ying Zhao, Liming Huang, Hongwen Dong, Yunhui Yan   +5 more
doaj   +1 more source

Dynamic Message Propagation Network for RGB-D Salient Object Detection

CoRR, 2022
This paper presents a novel deep neural network framework for RGB-D salient object detection by controlling the message passing between the RGB images and depth maps on the feature level and exploring the long-range semantic contexts and geometric information on both RGB and depth features to infer salient objects.
Baian Chen, Zhilei Chen, Xiaowei Hu 0001, Jun Xu 0019, Haoran Xie 0001, Mingqiang Wei, Jing Qin 0001   +6 more
openaire   +2 more sources

Cross-Modal Adaptive Interaction Network for RGB-D Saliency Detection

Applied Sciences
The salient object detection (SOD) task aims to automatically detect the most prominent areas observed by the human eye in an image. Since RGB images and depth images contain different information, how to effectively integrate cross-modal features in the
Qinsheng Du, Yingxu Bian, Jianyu Wu, Shiyan Zhang, Jian Zhao   +4 more
doaj   +1 more source

Salient Object Detection in RGB-D Videos

IEEE Transactions on Image Processing
IEEE TIP (under major revision)
Ao Mou, Yukang Lu, Jiahao He, Dingyao Min, Keren Fu, Qijun Zhao   +5 more
openaire   +3 more sources

Cross-Modal Weighting Network for RGB-D Salient Object Detection [PDF]

, 2020
Accepted in ECCV2020.
Gongyang Li, Zhi Liu 0003, Linwei Ye, Yang Wang 0003, Haibin Ling   +4 more
openaire   +2 more sources