RGB-D Image Saliency Detection via Background and Foreground Fusion
Jisuanji kexue yu tansuo, 2020 RGB-D image saliency detection refers to the addition of depth information in traditional 2D images to extract significant objects. However, for current saliency detection models, most of them focus on the saliency objects themselves, but ignore the ...
ZHAO Qiang, WANG Aiping, LIU Zhengyi
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Saliency Detection via Fusing Color Contrast and Hash Fingerprint
Journal of Electrical and Computer Engineering, 2022 Saliency detection is a technique for automatically extracting regions of interest from the background and has been widely used in the computer vision field.
Yin Lv, Xuanrui Zhang, Yong Wang
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Artificially created stimuli produced by a genetic algorithm using a saliency model as its fitness function show that Inattentional Blindness modulates performance in a pop-out visual search paradigm [PDF]
, 2014 Salient stimuli are more readily detected than less salient stimuli, and individual differences in such detection may be relevant to why some people fail to notice an unexpected stimulus that appears in their visual field whereas others do notice it ...
Anne Richards +5 more
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Psychophysical tests of the hypothesis of a bottom-up saliency map in primary visual cortex [PDF]
, 2007 A unique vertical bar among horizontal bars is salient and pops out perceptually. Physiological data have suggested that mechanisms in the primary visual cortex (V1) contribute to the high saliency of such a unique basic feature, but indicated little ...
Keith A May +7 more
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Human and saliency target detection.
, 2022 Human and saliency target detection.
Tianfei Zhou (13863954) +1 more
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Inshore Ship Detection Based on Multi-Modality Saliency for Synthetic Aperture Radar Images
Remote Sensing, 2023 Synthetic aperture radar (SAR) ship detection is of significant importance in military and commercial applications. However, a high similarity in intensity and spatial distribution of scattering characteristics between the ship target and harbor ...
Zhe Chen +4 more
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Stimulus saliency modulates pre-attentive processing speed in human visual cortex [PDF]
, 2011 The notion of a saliency-based processing architecture [1] underlying human vision is central to a number of current theories of visual selective attention [e.g., 2].
Hermann J. Müller +19 more
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Saliency detection using suitable variant of local and global consistency
IET Computer Vision, 2017 In existing local and global consistency (LGC) framework, the cost functions related to classifying functions adopt the sum of each row of weight matrix as an important factor.
Jiazhong Chen +6 more
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Deep Saliency Quality Assessment Network With Joint Metric
IEEE Access, 2018 Saliency detection aims to find the most conspicuous regions in an image, which highly catches the users' attention. High-quality saliency map plays an important role in boosting many other computer vision tasks, such as object detection and segmentation.
Liangzhi Tang +3 more
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Saliency detection using regional histograms [PDF]
, 2013 International audienceWe propose an efficient regional histogram (RH)-based computation model for saliency detection in natural images. First, the global histogram is constructed by performing an adaptive color quantization on the original image.
Luo, Shuhua +3 more
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