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Salient object detection via local saliency estimation and global homogeneity refinement
2014
Pattern Recognition
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It consists of two processes: local saliency estimation and global-homogeneity refinement. ...
approach for detecting salient objects in an image. ...
Firstly, the local saliency seeds are estimated by the uniqueness property via a local contrast measure LSðÁÞ. ...
doi:10.1016/j.patcog.2013.11.015
fatcat:ujdn4ccf5rbsdft6rbsixel66a
Deep networks for saliency detection via local estimation and global search
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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This paper presents a saliency detection algorithm by integrating both local estimation and global search. ...
The estimated local saliency maps are further refined by exploring the high level object concepts. ...
In this work, we propose a DNN-based saliency detection method combining both local saliency estimation and global salient object candidate search. ...
doi:10.1109/cvpr.2015.7298938
dblp:conf/cvpr/WangLRY15
fatcat:pwnjgv3civd7hcr5fsqi7tg2je
DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Then a novel hierarchical recurrent convolutional neural network (HRCNN) is adopted to further hierarchically and progressively refine the details of saliency maps step by step via integrating local context ...
Traditional 1 salient object detection models often use hand-crafted features to formulate contrast and various prior knowledge, and then combine them artificially. ...
Acknowledgements: This work was supported in part by the National Science Foundation of China under Grants 61522207 and 61473231. ...
doi:10.1109/cvpr.2016.80
dblp:conf/cvpr/LiuH16
fatcat:7e5bu4fkp5ceflkpwffito5oky
Efficient Salient Object Detection Model with Dilated Convolutional Networks
2020
IEICE transactions on information and systems
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Introduction of Fully Convolutional Networks (FCNs) has made record progress in salient object detection models. ...
Therefore, an efficient salient object detection method based on deep learning is proposed in our work. ...
[30] propose a saliency detection model with local estimation and global search. ...
doi:10.1587/transinf.2019edp7284
fatcat:acvvupovuzhsbgcmpfr2hbpkd4
Saliency Map Generation for SAR Images with Bayes Theory and Heterogeneous Clutter Model
2017
Remote Sensing
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Local and global background areas lead to different saliency measures, i.e., local saliency and global saliency, which are combined to make a final saliency measure. ...
After collecting all of the salient regions in the image, the result is refined by considering the image's immediate context. ...
Tao Tang conducted the preparation of the manuscript and is responsible for the technical support of the manuscript. Weiping Ni, Han Zhang and Wentai Lei helped analyze and discuss the results. ...
doi:10.3390/rs9121290
fatcat:nd2ffpvqjnep3nne45flpwxelu
Co-saliency detection based on region-level fusion and pixel-level refinement
2014
2014 IEEE International Conference on Multimedia and Expo (ICME)
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1 This paper addresses the problem of co-saliency detection, which aims to identify the common salient objects in a set of images and is important for many applications such as object co-segmentation and ...
co-saliency maps, which can highlight co-salient object regions and suppress irrelevant regions. ...
In [10] , the group saliency model estimates co-saliency in a set of images via salient object extraction to maximize between-image similarities and within-image distinctness. ...
doi:10.1109/icme.2014.6890183
dblp:conf/icmcs/LiLZZM14
fatcat:grhu5cyi5ngsdbbz4kq3vst4ui
Salient Object Detection Techniques in Computer Vision—A Survey
2020
Entropy
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Relevant saliency modeling trends with key issues, core techniques, and the scope for future research work have been discussed in the context of difficulties often faced in salient object detection. ...
Detection and localization of regions of images that attract immediate human visual attention is currently an intensive area of research in computer vision. ...
[152] integrated pixel-wise local estimate with the object-aware global search for robust saliency detection. ...
doi:10.3390/e22101174
pmid:33286942
pmcid:PMC7597345
fatcat:3p5d2nal4vhxbi2via3g7oicga
Salient Object Detection via Reciprocal Function Filter
2019
IET Image Processing
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Salient object detection (SOD) has been attracting a lot of interest, and recently many computational models have been developed. ...
salient object, whereas it is what the traditional models lack. ...
[22] presented saliency detection via absorbing Markov chain on an image graph model, which jointly considers the appearance divergence and spatial distribution of salient objects and the background ...
doi:10.1049/iet-ipr.2018.5722
fatcat:elz2b2ucfbdknjglo3dcksdise
Efficient Salient Region Detection with Soft Image Abstraction
2013
2013 IEEE International Conference on Computer Vision
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across similar regions, and producing perceptually accurate salient region detection. ...
We propose a novel method to decompose an image into large scale perceptually homogeneous elements for efficient salient region detection, using a soft image abstraction representation. ...
We will discuss how our global homogeneous components representation benefits global saliency cue estimation in §4. ...
doi:10.1109/iccv.2013.193
dblp:conf/iccv/ChengWLZVC13
fatcat:onomkytrlfemnjwmjsnsmluqim
Salient Object Detection Integrating both Background and Foreground Information based on Manifold Preserving
2019
IEEE Access
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Graph-based two-stage algorithms have widely developed and achieved good performance to detect salient objects. ...
INDEX TERMS Salient object detection, saliency map, background, foreground, manifold. ...
[34] proposed a novel Localization-to-Refinement network for salient object detection. ...
doi:10.1109/access.2019.2936915
fatcat:is7pwcxxy5h4fe3nxk2aswwo4y
Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement
2018
Pattern Recognition
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2018) Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement. Pattern Recognition, 79. pp. 65-78. ISSN 0031-3203 , http://dx. ...
However, how to practically use and fuse both attentional mechanisms for salient object detection has not been sufficiently explored. ...
to refine the saliency map Pixel-level saliency detection IT [4] No Color, Intensity, Orientation Normalization of saliency map MZ [9] Image resizing, Color quantization Color Refinement via Fuzzy ...
doi:10.1016/j.patcog.2018.02.004
fatcat:duwl6dnxhzfotg7qadod4c7z3q
Encoding based saliency detection for videos and images
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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We evaluate our approach on several datasets, including challenging scenarios with cluttered background and camera motion, as well as salient object detection in images. ...
We present a novel video saliency detection method to support human activity recognition and weakly supervised training of activity detection algorithms. ...
This work was supported by the Austrian Science Foundation (FWF) under the project Advanced Learning for Tracking and Detection (I535-N23). ...
doi:10.1109/cvpr.2015.7298864
dblp:conf/cvpr/MauthnerPWB15
fatcat:yfvuwjah3vewzmot2ulue7t5aa
Hierarchical Contour Closure-Based Holistic Salient Object Detection
2017
IEEE Transactions on Image Processing
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Such fine-grained contrast based salient object detection methods are stuck with saliency attenuation of the salient object and saliency overestimation of the background when the image is complicated. ...
Most existing salient object detection methods compute the saliency for pixels, patches or superpixels by contrast. ...
closure for salient object detection. ...
doi:10.1109/tip.2017.2703081
pmid:28500000
fatcat:rxkjth3jqraqjcatmrzizzm6pe
Salient object detection: A survey
2019
Computational Visual Media
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Detecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision. ...
, and saliency for fixation prediction. ...
Leveraging local and global context. Wang et al. consider both local and global information for better detection of salient regions [160] . ...
doi:10.1007/s41095-019-0149-9
fatcat:rwh3mzauinfj7na5ewo6wfp26e
Salient Region Detection Using Diffusion Process with Nonlocal Connections
2018
Applied Sciences
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However, only considering the local relevance between neighbors, the salient region may be heterogeneous and even wrongly suppressed, especially when the features of salient object are diverse. ...
Finally, to obtain a highlighted and homogeneous saliency map, a single-layer updating and multi-layer integrating scheme is presented. ...
As Figure 12 shows, the most salient region detection methods can effectively manage cases with relatively simple backgrounds and homogenous objects. ...
doi:10.3390/app8122526
fatcat:bj7t5k2mjfe4de7gqen4qozg7y
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