Results 11 to 20 of about 10,257 (261)
Image Saliency Detection Based on Spatial Convolutional Neural Network Model [PDF]
Jisuanji gongcheng, 2018 To overcome the drawback of bad robustness detection of the existing saliency detection methods,this paper presents a novel saliency detection based on spatial convolutional neural network.The candidate object areas are conformed via preprocessing ...
GAO Dongdong,ZHANG Xinsheng
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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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International Journal of Applied Earth Observations and Geoinformation, 2023 For the past few years, the barrier of explainability accompanying by deep neural networks (DNNs) has been increasingly studied. The methods based on class activation map (CAM) which interpret the model decision by mapping the output back to the input ...
Xianpeng Guo +6 more
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Improvement of CRF-Based Saliency Detection Algorithm Using Matrix Decomposition Based Features [PDF]
مدیریت مهندسی و رایانش نرم, 2020 One of the most important processing steps in the human vision system is the detection of a scene saliency map. Since saliency map can be applied to algorithms such as segmentation, compression and image retrieval, Researchers have focused on providing ...
Mohammad Shouryabi +1 more
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Explaining Defect Detection with Saliency Maps [PDF]
, 2021 The rising quality and throughput demands of the manufacturing domain require flexible, accurate and explainable computer-vision solutions for defect detection. Deep Neural Networks (DNNs) reach state-of-the-art performance on various computer-vision tasks but wide-spread application in the industrial domain is blocked by the lacking explainability of ...
Joe Lorentz +4 more
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Image Saliency Detection Based on Boundary Prior in Natural Scenes [PDF]
Jisuanji gongcheng, 2016 In order to detect saliency object accurately in natural scenes,an image saliency detection based on boundary prior in natural scenes is proposed in this paper.The original image is first segmented into a set of superpixels with similar color and texture
FAN Qing,YU Fengqin,CHEN Ying
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Unified Saliency Detection Model Using Color and Texture Features. [PDF]
PLoS ONE, 2016 Saliency detection attracted attention of many researchers and had become a very active area of research. Recently, many saliency detection models have been proposed and achieved excellent performance in various fields. However, most of these models only
Libo Zhang, Lin Yang, Tiejian Luo
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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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Problems with Saliency Maps [PDF]
, 2019 Despite the popularity that saliency models have gained in the computer vision community, they are most often conceived, exploited and benchmarked without taking heed of a number of problems and subtle issues they bring about. When saliency maps are used as proxies for the likelihood of fixating a location in a viewed scene, one such issue is the ...
Giuseppe Boccignone +2 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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