Salient object detection using a covariance-based CNN model in low-contrast images
Sign Up to like & getrecommendations! 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… read more here.
Keywords: object detection; salient object; model; contrast images ... See more keywords
A novel dynamic graph evolution network for salient object detection
Sign Up to like & getrecommendations! 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,… read more here.
Keywords: object detection; object; graph; salient object ... See more keywords
Salient object detection via robust dictionary representation
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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… read more here.
Keywords: object detection; low rank; salient object; representation ... See more keywords
A Two-Stage Bayesian Integration Framework for Salient Object Detection on Light Field
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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… read more here.
Keywords: detection; salient; salient object; stage bayesian ... See more keywords
A unified framework for exploiting color coefficients for salient object detection
Sign Up to like & getrecommendations! 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… read more here.
Keywords: object detection; color; detection; color space ... See more keywords
Salient object detection via multi-scale attention CNN
Sign Up to like & getrecommendations! 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… read more here.
Keywords: object detection; saliency; salient object; attention ... See more keywords
Lightweight adversarial network for salient object detection
Sign Up to like & getrecommendations! 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… read more here.
Keywords: object detection; detection; adversarial network; salient object ... See more keywords
Bi-Connect Net for salient object detection
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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… read more here.
Keywords: object detection; connect net; salient object; salient ... See more keywords
BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection
Sign Up to like & getrecommendations! 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… read more here.
Keywords: object detection; saliency; connectivity; salient object ... See more keywords
Salient Object Detection and Segmentation via Ultra-Contrast
Sign Up to like & getrecommendations! 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… read more here.
Keywords: object detection; detection; contrast; salient object ... See more keywords
Sparse Gradient Based Structured Matrix Decomposition for Salient Object Detection
Sign Up to like & getrecommendations! 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… read more here.
Keywords: object detection; sparse gradient; salient object; salient ... See more keywords