Salient object detection: A survey [PDF]
Computational Visual Media, 2019 Detecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision. While many models have been proposed and several applications have emerged, a deep understanding
Ali Borji +4 more
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Salient Object Detection Techniques in Computer Vision—A Survey [PDF]
Entropy, 2020 Detection and localization of regions of images that attract immediate human visual attention is currently an intensive area of research in computer vision.
Ashish Kumar Gupta +3 more
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On the Distribution of Salient Objects in Web Images and Its Influence on Salient Object Detection. [PDF]
PLoS ONE, 2015 In recent years it has become apparent that a Gaussian center bias can serve as an important prior for visual saliency detection, which has been demonstrated for predicting human eye fixations and salient object detection. Tseng et al.
Boris Schauerte, Rainer Stiefelhagen
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Salient Object Detection Based on Optimization of Feature Computation by Neutrosophic Set Theory [PDF]
Sensors, 2023 In recent saliency detection research, too many or too few image features are used in the algorithm, and the processing of saliency map details is not satisfactory, resulting in significant degradation of the salient object detection result.
Sensen Song +3 more
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RGBD Salient Object Detection, Based on Specific Object Imaging [PDF]
Sensors, 2022 RGBD salient object detection, based on the convolutional neural network, has achieved rapid development in recent years. However, existing models often focus on detecting salient object edges, instead of objects.
Xiaolian Liao +4 more
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CoSOV1Net: A Cone- and Spatial-Opponent Primary Visual Cortex-Inspired Neural Network for Lightweight Salient Object Detection [PDF]
Sensors, 2023 Salient object-detection models attempt to mimic the human visual system’s ability to select relevant objects in images. To this end, the development of deep neural networks on high-end computers has recently achieved high performance.
Didier Ndayikengurukiye, Max Mignotte
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Feature Refine Network for Salient Object Detection [PDF]
Sensors, 2022 Different feature learning strategies have enhanced performance in recent deep neural network-based salient object detection. Multi-scale strategy and residual learning strategies are two types of multi-scale learning strategies. However, there are still
Jiejun Yang, Liejun Wang, Yongming Li
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Multi-Color Space Network for Salient Object Detection [PDF]
Sensors, 2022 The salient object detection (SOD) technology predicts which object will attract the attention of an observer surveying a particular scene. Most state-of-the-art SOD methods are top-down mechanisms that apply fully convolutional networks (FCNs) of ...
Kyungjun Lee, Jechang Jeong
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SODU2-NET: a novel deep learning-based approach for salient object detection utilizing U-NET [PDF]
PeerJ Computer ScienceDetecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision.
Hyder Abbas +4 more
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Salient object detection: a mini review
Frontiers in Signal ProcessingThis paper presents a mini-review of recent works in Salient Object Detection (SOD). First, We introduce SOD and its application in image processing tasks and applications.
Xiuwenxin Wang +4 more
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