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Salient Object Detection: A Benchmark [PDF]

Lecture Notes in Computer Science, 2012
Several salient object detection approaches have been published which have been assessed using different evaluation scores and datasets resulting in discrepancy in model comparison. This calls for a methodological framework to compare existing models and evaluate their pros and cons.
Ali Borji, Laurent Itti, Dicky N Sihite
exaly   +3 more sources

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Salient object detection by composition

2011 International Conference on Computer Vision, 2011
Conventional 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 ...
Jie Feng 0012, Yichen Wei, Litian Tao, Chao Zhang 0001, Jian Sun 0001   +4 more
openaire   +2 more sources

Reverse Attention for Salient Object Detection [PDF]

Lecture Notes in Computer Science, 2018
Benefit from the quick development of deep learning techniques, salient object detection has achieved remarkable progresses recently. However, there still exists following two major challenges that hinder its application in embedded devices, low resolution output and heavy model weight.
Shuhan Chen, Ben Wang, Xuelong Hu
exaly   +3 more sources

Spatiotemporal salient object detection by integrating with objectness

Multimedia Tools and Applications, 2017
This paper proposes a novel spatiotemporal salient object detection method by integrating saliency and objectness, for videos with complicated motion and complex scenes. The initial salient object detection result is first built upon both saliency map and objectness map. Afterwards, the region size of salient object is adjusted to obtain the frame-wise
Tongbao Wu, Zhi Liu 0003, Xiaofei Zhou 0003, Kai Li 0016   +3 more
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How the distribution of salient objects in images influences salient object detection

2013 IEEE International Conference on Image Processing, 2013
We investigate the spatial distribution of salient objects in images. First, we empirically show that the centroid locations of salient objects correlate strongly with a centered, half-Gaussian model. This is an important insight, because it provides a justification for the integration of such a center bias in salient object detection algorithms ...
Schauerte, B., Stiefelhagen, R.
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Focusness guided salient object detection

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017
Salient 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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Salient Object Detection with Edge Recalibration

2020
Salient Object Detection (SOD) based on Convolutional Neural Networks (CNNs) has been widely studied recently. How to maintain a complete and clear object boundary structure is still a key issue. Existing works with the utilization of edge information have already improved this issue to some extent.
Zhenshan Tan, Yikai Hua, Xiaodong Gu 0001   +2 more
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Oscillation analysis for salient object detection

Multimedia Tools and Applications, 2012
Salient object detection from an image is important for many multimedia applications. Existing methods provide good solutions to saliency detection; however, their results often emphasize the high-contrast edges, instead of regions/objects. In this paper, we present a method for salient object detection based on oscillation analysis.
Yang Liu 0009, Xueqing Li, Lei Wang 0184, Yuzhen Niu, Feng Liu 0015   +4 more
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Ranking Video Salient Object Detection

Proceedings of the 27th ACM International Conference on Multimedia, 2019
Video 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 0008, Xinyu Yan 0001, Yahong Han, Meijun Sun   +3 more
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Edge guided salient object detection

Neurocomputing, 2017
This 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 0003, Xiaoyun Zhang 0001, Li Chen 0021, Hua Yang 0001, Zhiyong Gao   +4 more
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