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Description: 一种基于小波的vision attention saliency map 检测源码。分别有灰度，方向，颜色，纹理三个channel.
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Author: Flora |
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Description: The SaliencyToolbox is a collection of Matlab functions and scripts for computing the saliency map for an image, for determining the extent of a proto-object, and for serially scanning the image with the focus of attention. It has been cited in more than 100 papers.
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Size: 5521327 |
Author: xuzhi1984@sina.com.cn |
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Description: 基于视觉注意的itti的经典算法saliency map，此代码在matlab平台下执行
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Size: 1134822 |
Author: honghai0387 |
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Description: 基于图像签名的显著性区域检测，算法很巧妙，好用-computation of a saliency map based on the
Image Signature, as described in the following paper:
"Image Signature: Highlighting sparse salient regions",
Xiaodi Hou, Jonathan Harel, and Christof Koch,
IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 194-201 (2012)
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Size: 420864 |
Author: Cathy |
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Description:
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Size: 191488 |
Author: liu |
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Description: 一种基于小波的vision attention saliency map 检测源码。分别有灰度，方向，颜色，纹理三个channel.-A Wavelet-based detection of vision attention saliency map source. Have gray, respectively, direction, color, texture three channel.
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Size: 172032 |
Author: Flora |
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Description: A Model of Saliency-Based Visual Attention for Rapid Scene Analysis.ps.gz
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Size: 2888704 |
Author: 汪凌峰 |
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Description: GPU based saliency map generation and selective rendering paper.
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Size: 3811328 |
Author: alok |
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Description: 一篇经典论文的代码，“Saliency,Scale,image description”，用于寻找视觉显著性的区域，matlab代码-A classic papers of the code, " Saliency, Scale, image description" , for the visual search of the area significantly, matlab code
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Size: 20480 |
Author: purple_ice |
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Description: saliency map:detect salient region of image
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Size: 20003840 |
Author: 義安 |
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Description: 用于人造视觉：256*256的图片缩小到25*25，二值化 并通过saliency map提取显著性区域-For artificial vision: 256* 256 pictures down to 25* 25, binary extraction by saliency map significant areas
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Size: 1992704 |
Author: 阻阻 |
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Description: 求取图像的显著图的一种方法，MSSS，效果不错-saliency map
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Size: 642048 |
Author: wuhaiyan |
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Description: 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.
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Size: 10361856 |
Author: chenyun |
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Description: 《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
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Size: 1592320 |
Author: garth88 |
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Description: 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
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Size: 340992 |
Author: 宋晶 |
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Description: 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
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Size: 4427776 |
Author: 祖祖- |
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Description: saliency Map make by c/c++
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Size: 8192 |
Author: Skai
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Description: saliency Map and superpixel
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Size: 41984 |
Author: Skai
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Description: saliency map detection
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Size: 2241536 |
Author: Amal IEEE
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Description: 通过直接结合各种多图像显著图和单图像显著图来生成最终的共显着性图(The final co-saliency map is generated by directly combining various multi-image saliency maps and single-image saliency maps.)
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Size: 9203712 |
Author: zleoy
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