Results 11 to 20 of about 12,627 (258)
Hierarchical Saliency Detection [PDF]
When dealing with objects with complex structures, saliency detection confronts a critical problem - namely that detection accuracy could be adversely affected if salient foreground or background in an image contains small-scale high-contrast patterns. This issue is common in natural images and forms a fundamental challenge for prior methods. We tackle
Qiong Yan +3 more
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Context proposals for saliency detection [PDF]
One of the fundamental properties of a salient object region is its contrast with the immediate context. The problem is that numerous object regions exist which potentially can all be salient. One way to prevent an exhaustive search over all object regions is by using object proposal algorithms.
Aymen Azaza +3 more
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Context-Aware Saliency Detection [PDF]
We propose a new type of saliency—context-aware saliency—which aims at detecting the image regions that represent the scene. This definition differs from previous definitions whose goal is to either identify fixation points or detect the dominant object. In accordance with our saliency definition, we present a detection algorithm which is based on four
Stas Goferman +2 more
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Saliency detection for stereoscopic images [PDF]
Many saliency detection models for 2D images have been proposed for various multimedia processing applications during the past decades. Currently, the emerging applications of stereoscopic display require new saliency detection models for salient region extraction.
Yuming Fang 0001 +4 more
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Salient target detection in hyperspectral image based on visual attention
Salient target detection in hyperspectral image is a significant task in image segmentation, target tracking, image classification and so on. Many existing saliency detection algorithms for hyperspectral image detection cannot present the boundary of the
Minghua Zhao +5 more
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Background Template Optimization Saliency Detection Algorithm Fusing with Foreground Information [PDF]
When salient objects exist at image boundaries,most saliency detection models misdetect salient regions as background templates,resulting in poor detection results.To solve this problem,a saliency detection algorithm based on background template ...
CHEN Wei,LI Juelong,XING Jianchun,YANG Qiliang,ZHOU Qizhen
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Superpixel-based saliency detection [PDF]
In this paper, we propose an effective superpixel-based saliency model. First, the original image is simplified by performing superpixel segmentation and adaptive color quantization. On the basis of superpixel representation, inter-superpixel similarity measures are then calculated based on difference of histograms and spatial distance between each ...
Liu, Zhi, Le Meur, Olivier, Luo, Shuhua
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Saliency detection on an individual image as well as co-saliency detection from a group of images are currently popular topics or reflect future trends more recently due to their importance and challenging roles in computer vision.
Honglin Quan, Songhe Feng, Baifan Chen
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In order to improve the change detection accuracy of multitemporal high spatial resolution remote-sensing (HSRRS) images, a change detection method of multitemporal remote-sensing images based on saliency detection and spatial intuitionistic fuzzy C ...
Liang Huang, Qiuzhi Peng, Xueqin Yu
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A Saliency Map Fusion Method Based on Weighted DS Evidence Theory
In this paper, we propose a weighted Dempster-Shafer (DS) evidence theory-based fusion algorithm to take advantages of state-of-the-art salient object detection methods.
Bing-Cai Chen +5 more
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