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Background-Driven Salient Object Detection
IEEE Transactions on Multimedia, 2017The background information is a significant prior for salient object detection, especially when images contain cluttered background and diverse object parts. In this paper, we propose a background-driven salient object detection (BD-SOD) method to more comprehensively exploit the background prior, aiming at generating more accurate and robust salient ...
Zilei Wang +3 more
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Edge guided salient object detection
Neurocomputing, 2017This paper proposes a novel edgtae guided salient object detection algorithm. Compared to existing works where edges artae always ignored, the proposed algorithm attaches great importance to edge information and shows that edges play an irreplaceable role throughout the salient object detection process.
Bing Yang +4 more
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Focusness guided salient object detection
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017Salient object detection aims to correctly highlight the most salient object(s) in an image. Combining fine-grained contrast prior with rough-grained object consistency, this paper proposes a Focusness Guided Salient object detection (FGS) algorithm.
Xiaolin Xiao, Yicong Zhou
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Fully Unsupervised Salient Object Detection
2019 4th International Conference on Pattern Recognition and Image Analysis (IPRIA), 2019Object detection is one of the most important components of machine vision. Today, object detection is used in a variety of areas, including guidance, driving, industry, and other key areas. For this reason, many algorithms have been proposed in this regard, with the aim of increasing the quality of detecting objects in an image.
Narges Fatemi +2 more
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Phase-based salient object detection
2012 6th International Conference on Signal Processing and Communication Systems, 2012In this paper, we propose an efficient approach to computing saliency maps and determining salient areas in images. Biologically inspired feature maps are first constructed for a given image, and the phase information is then extracted from each feature map in the frequency domain.
null Jia Wan, null Kin-Man Lam
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Audio-Visual Salient Object Detection
2021This paper studies audio-visual salient object detection. The task of salient object detection is to detect and mark the objects that are most concerned by people in the visual scene. Traditionally, visual salient object detection uses only images or video frames to detect salient objects, without modeling human multi-modal perception which includes ...
Shuaiyang Cheng +3 more
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Salient Object Detection via Objectness Proposals
Proceedings of the AAAI Conference on Artificial Intelligence, 2015Salient object detection has gradually become a popular topic in robotics and computer vision research. This paper presents a real-time system that detects salient object by integrating objectness, foreground and compactness measures. Our algorithm consists of four basic steps.
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Ranking Video Salient Object Detection
Proceedings of the 27th ACM International Conference on Multimedia, 2019Video salient object detection has been attracting more and more research interests recently. However, the definition of salient objects in videos has been controversial all the time, which has become a critical bottleneck in video salient object detection. Specifically, the sequential information contained in videos results in a fact that objects have
Zheng Wang +3 more
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Real-time salient object detection
Proceedings of the 21st ACM international conference on Multimedia, 2013Salient object detection techniques have a variety of multimedia applications of broad interest. However, the detection must be fast to truly aid in these processes. There exist many robust algorithms tackling the salient object detection problem but most of them are computationally demanding.
Chia-Ju Lu, Chih-Fan Hsu, Mei-Chen Yeh
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Salient object detection by composition
2011 International Conference on Computer Vision, 2011Conventional saliency analysis methods measure the saliency of individual pixels. The resulting saliency map inevitably loses information in the original image and finding salient objects in it is difficult. We propose to detect salient objects by directly measuring the saliency of an image window in the original image and adopt the well established ...
null Jie Feng +4 more
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