Results 41 to 50 of about 18,850,036 (270)

RGB-D Salient Object Detection via 3D Convolutional Neural Networks

, 2021
RGB-D salient object detection (SOD) recently has attracted increasing research interest and many deep learning methods based on encoder-decoder architectures have emerged.
Fu, Keren, Du, Hongwei, Zhang, Yi, Zhao, Qijun, Liu, Ze, Chen, Qian   +5 more
core   +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

CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detection [PDF]

, 2022
Focusing on the issue of how to effectively capture and utilize cross-modality information in RGB-D salient object detection (SOD) task, we present a convolutional neural network (CNN) model, named CIR-Net, based on the novel cross-modality interaction ...
Lin, Qinwei, Li, Chongyi, Cao, Xiaochun, Zhang, Chen, Huang, Qingming, Cong, Runmin, Zhao, Yao   +6 more
core   +1 more source

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   +3 more sources

SIA: RGB-T salient object detection network with salient-illumination awareness

, 2023
RGB-thermal salient object detection (RGB-T SOD) has rapidly developed and achieved excellent detection results. Unfortunately, the significant impact of illumination on salient object detection has not yet been adequately addressed, which results in ...
Hongwei Wen (11795369), Yingying Ji (11009638), Kechen Song (6743135), Xiaotong Xue (16631986), Yunhui Yan (8800886), Qinggang Meng (1257072), Liming Huang (110579)   +6 more
core   +2 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   +3 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

Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection [PDF]

, 2023
In this paper, we present a weakly-supervised RGB-D salient object detection model via scribble supervision. Specifically, as a multimodal learning task, we focus on effective multimodal representation learning via inter-modal mutual information ...
Zhang, Jing, Dai, Yuchao, Mao, Yuxin, Li, Aixuan   +3 more
core   +1 more source

Structure-Preserving Binary Representations for RGB-D Action Recognition [PDF]

, 2015
In this paper, we propose a novel binary local representation for RGB-D video data fusion with a structure-preserving projection. Our contribution consists of two aspects.
Liu, Li, Shao, Ling, Yu, Mengyang
core   +1 more source

A new benchmark for camouflaged object detection: RGB-D camouflaged object detection dataset

Open Physics
This article aims to provide a novel image paradigm for camouflaged object detection, i.e., RGB-D images. To promote the development of camouflaged object detection tasks based on RGB-D images, we construct an RGB-D camouflaged object detection dataset ...
Zhang Dongdong, Wang Chunping, Fu Qiang
doaj   +1 more source