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Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-2870-6
Abstract: Salient object detection model with active environment perception can substantially facilitate a wide range of applications. Conventional models primarily rely on handcrafted low-level image features or high-level features. However, these models may face great challenges…
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Keywords:
object detection;
salient object;
model;
contrast images ... See more keywords
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Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02479-z
Abstract: The advanced deep convolution neural networks (CNNs) based salient object detection (SOD) models still suffer from the coarse object edge. The traditional graph-based SOD models can preserve the object edge well benefitting from the superpixels,…
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Keywords:
object detection;
object;
graph;
salient object ... See more keywords
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Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5118-7
Abstract: The theory of sparse and low-rank representation has worked competitive performance in the field of salient object detection. Generally, the salient object is represented as sparse error while the non-salient region is constrained by the…
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Keywords:
object detection;
low rank;
salient object;
representation ... See more keywords
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Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9610-x
Abstract: Unique visual features of 4D light field data have been shown to affect detection of salient objects. Nevertheless, only a few studies explore it yet. In this study, several helpful visual features extracted from light…
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Keywords:
detection;
salient;
salient object;
stage bayesian ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.05.091
Abstract: Abstract With many applications in high level scene understanding, salient object detection is an important objective. In addition, this topic has received significant attention recently. This work proposes techniques that exploit the role of color…
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Keywords:
object detection;
color;
detection;
color space ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.09.061
Abstract: Abstract Fully convolutional network (FCN) based semantic segmentation models have largely inspired most recent works in the field of salient object detection. However, the lack of context information summarization can degrade the prediction accuracy of…
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Keywords:
object detection;
saliency;
salient object;
attention ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.09.100
Abstract: Abstract Recent advance on salient object detection benefits mostly from the revival of Convolutional Neural Networks (CNNs). However, with these CNN based models, the predicted saliency map is usually incomplete, that is, spatially inconsistent with…
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Keywords:
object detection;
detection;
adversarial network;
salient object ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.020
Abstract: Abstract As a challenging task for pixel-wise image analysis, salient object detection has made huge progress in recent years. However, there still exists a difficult problem: detection of distinguishing a salient and non-salient object in…
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Keywords:
object detection;
connect net;
salient object;
salient ... See more keywords
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Published in 2021 at "Pattern recognition"
DOI: 10.1016/j.patcog.2021.108231
Abstract: Salient object detection (SOD) is viewed as a pixel-wise saliency modeling task by traditional deep learning-based methods. A limitation of current SOD models is insufficient utilization of inter-pixel information, which usually results in imperfect segmentation…
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Keywords:
object detection;
saliency;
connectivity;
salient object ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2804379
Abstract: Salient object detection aims at finding the most conspicuous objects in an image that highly catches the user’s attention. The traditional contrast based salient object detection algorithms focus on highlighting the most dissimilar regions and…
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Keywords:
object detection;
detection;
contrast;
salient object ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2842070
Abstract: In the salient object detection, the given image can be decomposed into background regions (low-rank part) and salient regions (sparse part). In this paper, we present a novel sparse gradient-based structured matrix decomposition model for…
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Keywords:
object detection;
sparse gradient;
salient object;
salient ... See more keywords