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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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Author: purple_ice |
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Description: 文献 Saliency,scale and Image Description by Timor Kadir 经典显著性，尺度和特征的实现算法，已编译通过，且有示例。-Algorithmn for Saliency ,Scale and Image Description by Timor
used for feature extraction.
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Author: 小辫子 |
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Description: 该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。-This document contains codes and the corresponding paper. The aim is to simulate a physiological characteristic of human visual system called visual attention mechanism. The code is used to detect salient objects or regions following the way human eye observes the world. The relation between density and scale of salient object/region is described. It has found widespread use in numerous applications such as biological vision simulation, visual object detection, visual object tracking, visual intelligent surveillance, visual physiological, and visual psychology.
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Author: 朱亮亮 |
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Description: 这里详细介绍了提取图像内容描述和他们的后续匹配。- extraction of image content descriptions and their subsequent matching.
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Author: Nicolas |
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Description: 数字图像处理SaliencyMap 根据图像的高斯金字塔和灰度梯度信息提取出SaliencyMap，进一步以此为依据选择ROI-Digital image processing Saliency Map based on the image of the Gaussian pyramid and gray-scale gradient information extracted SaliencyMap, further as a basis to select ROI
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Author: fc |
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Description: TPAMI:Visual Saliency Based on Scale-Space Analysis in the Frequency Domain,论文源代码-TPAMI: Visual Saliency Based on Scale-Space Analysis in the Frequency Domain, the dissertation the source code
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Author: jayofdlmu |
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Description: 包括显著图经典文章Saliency, Scale and Image Description（2001），及其实现程序-Including a significant figure classic article Saliency, Scale and Image Description (2001), and its implementation program
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Author: 马飞 |
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Description: Rare2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis
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Author: 吴哲 |
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Description: 基于多尺度超像素的显著性检测代码和文章-Saliency Detection with Multi-Scale Superpixels
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Author: 阿木 |
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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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Author: 祖祖- |
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Description: Saliency Detection with Multi-Scale Superpixels的代码，可运行(Saliency Detection with Multi-Scale Superpixels)
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Author: lhyforever |
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