Results 41 to 50 of about 4,939,141 (238)

Salient Object Detection With Pyramid Attention and Salient Edges

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
This paper presents a new method for detecting salient objects in images using convolutional neural networks (CNNs). The proposed network, named PAGE-Net, offers two key contributions. The first is the exploitation of an essential pyramid attention structure for salient object detection.
Wenguan Wang, Shuyang Zhao, Jianbing Shen, Steven C. H. Hoi, Ali Borji   +4 more
openaire   +3 more sources

Salient Object Detection with Semantic Priors [PDF]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Salient object detection has increasingly become a popular topic in cognitive and computational sciences, including computer vision and artificial intelligence research. In this paper, we propose integrating semantic priors into the salient object detection process. Our algorithm consists of three basic steps.
Tam V. Nguyen 0002, Luoqi Liu
openaire   +3 more sources

Hybrid-Attention Network for RGB-D Salient Object Detection

Applied Sciences, 2020
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.
Yuzhen Chen, Wujie Zhou
doaj   +1 more source

A Fusion Underwater Salient Object Detection Based on Multi-Scale Saliency and Spatial Optimization

Journal of Marine Science and Engineering, 2023
Underwater images contain abundant information, but many challenges remain for underwater object detection tasks. Various salient object detection methods may encounter low detection precision, and the segmented map has an incomplete region of the target
Weiliang Huang, Daqi Zhu, Mingzhi Chen
doaj   +1 more source

Pluralistic Salient Object Detection

IEEE Transactions on Image Processing
We introduce pluralistic salient object detection (PSOD), a novel task aimed at generating multiple plausible salient segmentation results for a given input image. Unlike conventional SOD methods that produce a single segmentation mask for salient objects, this new setting recognizes the inherent complexity of real-world images, comprising multiple ...
Xuelu Feng, Yunsheng Li, Dongdong Chen 0001, Chunming Qiao, Junsong Yuan 0001, Lu Yuan, Gang Hua 0001   +6 more
openaire   +3 more sources

Salient Object Detection Algorithm Under Guidance of Semantic Information [PDF]

Jisuanji gongcheng, 2019
In view of the poor performance of the existing saliency detection method in object highlighting and background noise suppression,a salient object detection algorithm is proposed.An improved Fully Convolutional Neural Network(FCNN) is constructed to ...
XIAO Feng,LI Runa
doaj   +1 more source

Incremental refinement of image salient-point detection [PDF]

, 2008
Low-level image analysis systems typically detect "points of interest", i.e., areas of natural images that contain corners or edges. Most of the robust and computationally efficient detectors proposed for this task use the autocorrelation matrix of the ...
Andreopoulos, Y, Yiannis Andreopoulos, Ioannis Patras, Patras, I   +3 more
core  

Feeding, Fear, and Acceptance: Caregivers’ Experiences of Nutritional Support During Childhood Cancer Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques, Mariana dos Santos Murra, Welinton Hirai, Ana Laura Balduino do Nascimento, Karla Emilia de Sá Rodrigues, Wilson Elias de Oliveira Junior   +5 more
wiley   +1 more source

Salient Object Detection: Integrate Salient Features in the Deep Learning Framework

IEEE Access, 2019
Salient object detection in complex environments brings the challenge from the collections of large number of training images for deep learning algorithm.
Qixin Chen, Tie Liu, Yuanyuan Shang, Zhuhong Shao, Hui Ding   +4 more
doaj   +1 more source

RGB-D Salient Object Detection Using Saliency and Edge Reverse Attention

IEEE Access, 2023
RGB-D salient object detection is a task to detect visually significant objects in an image using RGB and depth images. Although many useful CNN-based methods have been proposed in the past, there are some problems such as blurring of object boundaries ...
Tomoki Ikeda, Masaaki Ikehara
doaj   +1 more source