Search - saliency

Search - saliency - List

【Special Effects】 SUN-saliency DL : 0: SUN：利用自然统计的显著性贝叶斯检测框架。一种自底向上的检测图像的显著性区域方法。-SUN: A Bayesian Framework for Saliency Using Natural Statistics
Update : 2024-05-02 Size : 4237312 Publisher : zhouqiang
【VOIP program】 10-Saliency DL : 0: context-aware saliency which aims at detecting the image regions that represent the scene.
Update : 2024-05-02 Size : 4011008 Publisher : kumar
【Special Effects】 context-aware-saliency-detection DL : 1: 这是论文“Context-Aware Saliency Detection”的matlab代码，已执行通过。-This is the code of the paper“Context-Aware Saliency Detection”，and it has been run successfully.
Update : 2024-05-02 Size : 417792 Publisher :
【OpenCV】 saliency DL : 0: Using C++ to program the OpenCV saliency. Finding the saliency points in the image.And it will use the OpenCV library.
Update : 2024-05-02 Size : 4096 Publisher : saike
【Special Effects】 Hierarchical-Saliency-Detection DL : 0: 程明明的hierarchical saliency detection的论文的可执行程序-Cheng Mingming s hierarchical saliency detection papers executable program
Update : 2024-05-02 Size : 1638400 Publisher : 斯蒂芬
【Special Effects】 Saliency-Detection-via-Graph-Based DL : 0: Saliency Detection via Graph-Based Manifold Ranking文章的代码，采用流形排序的方法的显著性检测-The code is for paper Saliency Detection via Graph-Based Manifold Ranking by Chuan Yang, Lihe Zhang, Huchuan Lu, Ming-Hsuan Yang, and Xiang Ruan
Update : 2024-05-02 Size : 5462016 Publisher : 郑玉
【Special Effects】 Saliency-Filters-master DL : 0: saliency fliter实现。主要贡献有两个，一个是提出了新的方法提取saliency，另外一个就是对其进行了加速。-saliency fliter implementation. The main contribution has two, one is to propose a new method for extracting saliency, another is its acceleration.
Update : 2024-05-02 Size : 660480 Publisher : 张兆丰
【Special Effects】 saliency DL : 0: 图像的显著性检测，phthon版实现, qing can kao-Image saliency detection, phthon edition realize
Update : 2024-05-02 Size : 4096 Publisher : white
【Graph Recognize】 Saliency-FiltersSF_maps DL : 0: This MAP pertains to the research described in the CVPR 2012 paper: Saliency Filters: Contrast Based Filtering for Salient Region Detection,
Update : 2024-05-02 Size : 12987392 Publisher :
【Special Effects】 saliency-dection--bayesian DL : 0: 基于贝叶斯概率框架的图像显著性检测,与局部和全局两方面探讨-Image saliency detection is based on bayesian，and research local contrast and global rarity.
Update : 2024-05-02 Size : 320512 Publisher : chenyun
【Special Effects】 image-saliency--feature-detection DL : 0: 基于图像特征的图像的彩色显著性检测，通过图像的特征获得显著特征，进而得到显著图像- Color Saliency in Image Feature Detection，we get saliency map by features map.
Update : 2024-05-02 Size : 10361856 Publisher : chenyun
【Special Effects】 saliency-st DL : 0: Saliency-Tree-A-Novel-Saliency-Detection-Framework的原文以及源码，是一篇高引论文-the source code and the original text of the article of Saliency-Tree-A-Novel-Saliency-Detection-Framework，its Reference is very high.
Update : 2024-05-02 Size : 26447872 Publisher : 牟丽
【Special Effects】 Saliency-Detection DL : 0: 介绍了一种显著性检测，程序可以直接运行，可以得到显著图像，有图像源。-propose a bottom-up visual saliency detection algorithm. Different most previous methods that mainly concentrate on image object, we take both background and foreground into consideration.
Update : 2024-05-02 Size : 24430592 Publisher : 吴韦佳
【Special Effects】 Saliency-Detection DL : 0: 《Saliency Detection: A Spectral Residual Approach》是上交高材生侯晓迪在07年的CVPR上发表的一篇论文，这篇文章提出了一个图像视觉显著性的简单计算模型，这个模型和Irri提出的模型是两个截然不同的模型，Irri模型对于图像视觉显著性主要关注整幅图片突出的部分，通过各种特征的融合提取显著性图，而Hou的这个模型一上来关注的点就不在一张图片里突出的地方，而是背景，观察是否大部分图片的背景在某个空间上都满足什么变化，最后剔除背景，自然就只剩下图片突出的部分了-" Saliency Detection: A Spectral Residual Approach" is turned on in the top students HOU Xiao Di 07 years CVPR paper published, this article presents a significant visual image of a simple calculation model, the model and the model proposed is two Irri distinct model, Irri model for the image saliency focused on the entire picture projecting portion extracted by the integration of the various features saliency map, and Hou this model up a point of interest in a picture is not prominent in place, but the background to observe whether the majority of the background image on a space to meet any changes, and finally removing the background, naturally, only the image projecting part
Update : 2024-05-02 Size : 1592320 Publisher : garth88
【Software Engineering】 visual-saliency DL : 0: 提出一种利用视觉显著性对图像进行分割的方法。首先提取图像的底层视觉特征，从局部显著性、全局显著性和稀少性3个方面计算各特征图像中各像素的视觉显著性，得到各特征显著图；对各特征显著图进行综合，生成最终的综合显著图。然后对综合显著图进行阈值分割，得到二值图像，将二值图像与原始图像叠加，将前景和背景分离，得到图像分割结果-It presents a significant advantage of visual image segmentation method. First, extract the underlying visual features of images, the local significant global significance and rarity three terms calculated for each feature image each pixel visual significance to give each feature saliency map for each feature saliency map integrated to generate the final integrated saliency map. Then the integrated saliency map threshold segmentation, binary image, binary image with the original image overlay, foreground and background separation, image segmentation results obtained
Update : 2024-05-02 Size : 340992 Publisher : 宋晶
【Special Effects】 Discriminant-Saliency-Detection DL : 0: saliency detection,the ability of human visual system to detect visual saliency is extraordinarily fast and reliable. However, computational modeling of this basic intelligent behavior still remains a challenge.-saliency detection
Update : 2024-05-02 Size : 247808 Publisher : 王五
【Special Effects】 Saliency-Detection DL : 0: 提出一种新的显着性检测方法，通过将区域级显着性估计和像素级显着性预测与CNN（表示为CRPSD）相结合。对于像素级显着性预测，通过修改VGGNet体系结构来执行完全卷积神经网络（称为像素级CNN）以执行多尺度特征学习，基于该学习进行图像到图像预测以完成像素级显着性检测。对于区域级显着性估计，首先设计基于自适应超像素的区域生成技术以将图像分割成区域，基于该区域通过使用CNN模型（称为区域级CNN）来估计区域级显着性。通过使用另一CNN（称为融合CNN）融合像素级和区域级显着性以形成nal显着图，并且联合学习像素级CNN和融合CNN。对四个公共基准数据集的大量定量和定性实验表明，所提出的方法大大优于最先进的显着性检测方法。-A new saliency detection method by significant regional level estimates and forecast significant pixel level and CNN (expressed as CRPSD) combined. For pixel-level significant prediction to perform a full convolution neural network by modifying VGGNet architecture (called pixel-level CNN) learning to perform multi-scale features, image to image prediction to complete the pixel level detection based on the significant learning . For regional levels significantly estimate, the first generation technology to design image is divided into regions based on adaptive super-pixel area, based on the model of the region through the use of CNN (CNN called regional level) to estimate regional levels significantly. By using another CNN (CNN called fusion) Fusion pixel level and regional level to form nal significant saliency map, and the Joint Learning pixel level fusion CNN and CNN. Four common reference data set of a large number of quantitative and qualitative experiments show that the proposed m
Update : 2024-05-02 Size : 4427776 Publisher : 祖祖-
【Special Effects】 Itti-c DL : 0: 论文：A model of saliency-based visual attention for rapid scene analysis.(1998) C++版本(Paper:A model of saliency-based visual attention for rapid scene analysis.(1998) Implement:C++ version)
Update : 2024-05-02 Size : 3072 Publisher : keylin
【Other】 saliencyCode DL : 0: saliency Map make by c/c++
Update : 2024-05-02 Size : 8192 Publisher : Skai
【Special Effects】 saliencySuperpixel DL : 0: saliency Map and superpixel
Update : 2024-05-02 Size : 41984 Publisher : Skai

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