A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges
[article]
2017
arXiv
pre-print
Preserved Fulltext
Other Versions
Co-saliency detection is a newly emerging and rapidly growing research area in computer vision community. ...
co-saliency, and designing effective computational frameworks to formulate co-saliency. ...
Liu et al. proposed a hierarchical segmentation based co-saliency model [62] . ...
arXiv:1604.07090v5
fatcat:j7zqwqaowndrbcuoazzizkuqr4
Review of Visual Saliency Detection with Comprehensive Information
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
RGBD saliency detection, co-saliency detection, or video saliency detection. ...
Co-saliency detection model introduces the inter-image correspondence constraint to discover the common salient object in an image group. ...
[81] proposed a fusion framework for co-saliency detection based on rank constraint, which is valid for multiple images and also works well on single image saliency detection. ...
arXiv:1803.03391v2
fatcat:htcmhlo32jhczehvvq6nmgzwam
Research on Salient Object Detection using Deep Learning and Segmentation Methods
2019
International journal of recent technology and engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
It not only focuses on the methods to detect saliency objects, but also reviews the works related to spatio temporal video attention detection technique in video sequences. ...
Detecting and segmenting salient objects in natural scenes, often referred to as salient object detection has attracted a lot of interest in computer vision and recently various heuristic computational ...
Benefiting from the discriminability of video co-saliency, a unified framework for segmenting out common salient regions of relevant videos, guided by video co-saliency prior is presented. ...
doi:10.35940/ijrte.b1046.0982s1119
fatcat:6ofq53vb7zhx7boq4ndpraphs4
Co-Saliency Detection for RGBD Images Based on Multi-Constraint Feature Matching and Cross Label Propagation
2018
IEEE Transactions on Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Different from the most existing co-saliency methods focusing on RGB images, this paper proposes a novel co-saliency detection model for RGBD images, which utilizes the depth information to enhance identification ...
The proposed method introduces the depth information and multi-constraint feature matching to improve the performance of co-saliency detection. ...
[58] proposed a RGBD saliency detection method based on saliency fusion and propagation. ...
doi:10.1109/tip.2017.2763819
pmid:29053455
fatcat:yok5suowh5ga5dx3mkvhinmkda
RGB-D salient object detection: A survey
2021
Computational Visual Media
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Finally, we discuss several challenges and open directions of RGB-D based salient object detection for future research. ...
Although various RGB-D based salient object detection models with promising performance have been proposed over the past several years, an in-depth understanding of these models and the challenges in this ...
Acknowledgements This research was supported by a Major Project for a New Generation of AI under Grant No. 2018AAA0100400, National Natural Science Foundation of China (61922046), and Tianjin Natural Science ...
doi:10.1007/s41095-020-0199-z
pmid:33432275
pmcid:PMC7788385
fatcat:foiz2zth4vckjfuhvh524hwdtq
Ensemble Video Object Cut in Highly Dynamic Scenes
2013
2013 IEEE Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We incorporate this similarity information into a graph-cut energy minimization framework for foreground object segmentation. ...
We propose a foreground salience graph (FSG) to characterize the similarity of an image patch to the bag-of-words background models in the temporal domain and to neighboring image patches in the spatial ...
Our approach integrates patch-level local background modeling with bags of words, region-level foreground object segmentation with graph cuts, and temporal domain information fusion among foreground-background ...
doi:10.1109/cvpr.2013.254
dblp:conf/cvpr/RenHH13
fatcat:va5zydzufbe33ixhfajpekrkzu
Front Matter: Volume 10615
2018
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon. ...
Please use the following format to cite material from these proceedings: Publication of record for individual papers is online in the SPIE Digital Library. ...
saliency and local threshold
segmentation [10615-105]
10615 1X
10615 1Y
Weakly supervised image semantic segmentation based on clustering superpixels
[10615-9]
10615 1Z
A robust fuzzy local Information ...
doi:10.1117/12.2316542
fatcat:tdaw76jq6nehpnttiga2lcuhna
Weld Inspection Based on Radiography Image Segmentation with Level Set Active Contour Guided Off-Center Saliency Map
2015
Advances in Materials Science and Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper we propose a new active contour based level set method for weld defect detection in radiography images. ...
An off-center saliency map exploited as a feature to represent image pixels is embedded into a region energy minimization function to guide the level set active contour to defects boundaries. ...
[17] proposed also a region local level set active contour where a local image fitting (LIF) energy function is used to guide the level set active contour to object boundaries based on local statistical ...
doi:10.1155/2015/871602
fatcat:yna55hvwibhf5jagespfbzar5e
Unsupervised change detection using multi-scale and multi-resolution gaussian-mixture-model guided by saliency enhancement
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
To address these issues, we propose a multiscale and multiresolution Gaussianmixture-model guided by saliency-enhancement (SE-MGMM) for change detection in bitemporal remote sensing images. ...
Index Terms-Change detection, feature fusion, Gaussianmixture-model (GMM), saliency enhancement. ...
In practical applications, saliency detection can guide image co-segmentation. ...
doi:10.1109/jstars.2020.3046838
fatcat:s5su7tnrxrhnjobhco4qqkrpri
Saliency Guided Computer-aided Diagnosis for Neurodegenerative Dementia
2017
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Inspired by the clinician visual behavior, we propose in this work a new and automatic approach to detect and quantify local brain atrophies. ...
The proposed approach combines both bottom-up and top-down visual saliency using domain knowledge in the brain MRI analysis. ...
ACKNOWLEDGEMENT Data collection and sharing for this work was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904). ...
doi:10.5220/0006293001400147
dblp:conf/biostec/AhmedLPF17
fatcat:mnv63m2v2bd35aouh5kblx6azu
Recent Advances in Saliency Estimation for Omnidirectional Images, Image Groups, and Video Sequences
2020
Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
for co-saliency, and saliency shift for video saliency estimation. ...
We focus on domains that are especially recent and relevant, as they make saliency estimation particularly useful and/or effective: omnidirectional images, image groups for co-saliency, and video sequences ...
[131] designed a method for video saliency detection based on spatio-temporal fusion and low-rank coherency guided diffusion. ...
doi:10.3390/app10155143
fatcat:3akkibaelnfnpav2x7gfdllhg4
Image Co-Segmentation via Examples Guidance
2019
International Journal of Advanced Computer Science and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a new co-segmentation method which takes advantage of the reliable segmentation of few selected images, in order to guide the segmentation of the remaining images in the collection ...
In addition, for real-world images which have cluttered backgrounds, the existing co-segmentation approaches miss sufficient robustness to extract the common object from the background. ...
ACKNOWLEDGMENT The authors wish to acknowledge the anonymous reviewers for their careful readings. ...
doi:10.14569/ijacsa.2019.0100165
fatcat:llv4exgm2rhotjpcrdlvcpe6qe
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Co-saliency detection aims to discover the common and salient foregrounds from a group of relevant images. ...
Third, we present a unified framework with encoder-decoder structure to jointly train and optimize the graph convolutional network, attention graph cluster, and co-saliency detection decoder in an end-to-end ...
Pipeline of the proposed GCAGC for co-saliency detection. ...
arXiv:2003.06167v1
fatcat:viapz273g5cv7lzln7x76pfuxq
Co-Bootstrapping Saliency
2017
IEEE Transactions on Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a visual saliency detection algorithm to explore the fusion of various saliency models in a manner of bootstrap learning. ...
Index Terms- Saliency detection, weak saliency model, strong saliency model, co-bootstrapping. ...
A number of new methods have been proposed to deal with the fusion of saliency methods. Mai et al. ...
doi:10.1109/tip.2016.2627804
pmid:28113932
fatcat:p62itxqkxvefrlaijgk3nyfrdi
HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a novel co-saliency detection method for RGBD images based on hierarchical sparsity reconstruction and energy function refinement. ...
Experiments on two RGBD co-saliency detection benchmarks demonstrate that the proposed method outperforms the state-of-the-art algorithms both qualitatively and quantitatively. ...
[52] proposed a saliency fusion framework for co-saliency detection based on the rank constraint, which is valid for multiple images and also works well on single image saliency detection. ...
arXiv:1811.06679v1
fatcat:k54zbjluafclvgsjpmqgllnjmq
« Previous
Showing results 1 — 15 out of 1,619 results