Results 1 to 10 of about 405,160 (239)
Salient alternatives facilitate implicatures. [PDF]
PLoS ONE, 2022 Sentences can be enriched by considering what the speaker does not say but could have done, the alternative. We conducted two experiments to test whether the salience of the alternative contributes to how people derive implicatures.
Lewis Bott, Steven Frisson
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Salient region detection through salient and non-salient dictionaries.
PLoS ONE, 2019 Low-rank representation-based frameworks are becoming popular for the saliency and the object detection because of their easiness and simplicity. These frameworks only need global features to extract the salient objects while the local features are ...
Mian Muhammad Sadiq Fareed +5 more
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Salient Object Detection: A Benchmark [PDF]
IEEE Transactions on Image Processing, 2015 We extensively compare, qualitatively and quantitatively, 40 state-of-the-art models (28 salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over 6 challenging datasets for the purpose of benchmarking salient object detection and segmentation methods.
Huaizu Jiang +3 more
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Salient Object Detection With Pyramid Attention and Salient Edges [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 This paper presents a new method for detecting salient objects in images using convolutional neural networks (CNNs). The proposed network, named PAGE-Net, offers two key contributions. The first is the exploitation of an essential pyramid attention structure for salient object detection.
WANG, Wenguan +4 more
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Salient Object Detection: Integrate Salient Features in the Deep Learning Framework [PDF]
IEEE Access, 2019 Salient object detection in complex environments brings the challenge from the collections of large number of training images for deep learning algorithm.
Qixin Chen +4 more
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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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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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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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The Secrets of Salient Object Segmentation [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 In this paper we provide an extensive evaluation of fixation prediction and salient object segmentation algorithms as well as statistics of major datasets. Our analysis identifies serious design flaws of existing salient object benchmarks, called the dataset design bias, by over emphasizing the stereotypical concepts of saliency.
Li, Yin +4 more
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Diverse neuronal activity patterns contribute to the control of distraction in the prefrontal and parietal cortex. [PDF]
PLoS BiologyGoal-directed behavior requires the effective suppression of distractions to focus on the task at hand. Although experimental evidence suggests that brain areas in the prefrontal and parietal lobe contribute to the selection of task-relevant and the ...
Panagiotis Sapountzis +2 more
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