搜索资源列表
CVPR10-LLC
- 2010 CVPR LLC matalb代码-2010 CVPR LLC matalb code
FT_Saliency_Demo1
- 一篇CVPR上的关于显著性检测的文章的源代码，文章为Frequency-tuned Salient Region Detection，即FT方法-source code of the cvpr article of Frequency-tuned Salient Region Detection,simply as FT
similarityDescriptor
- (cvpr)Matching Local Self-Similarities descr iptor自相似描述子-(cvpr)Matching Local Self-Similarities across Images and Videos
SR
- 07年CVPR的论文，实现了一个基于频率分析的显著区域检测模型，它只需要5个matlab公式就可以得到想要的结果，也没有很复杂的公式变换，都是图像处理基本的变换公式-2007 CVPR paper implements a frequency-based analysis of the salient region detection model, it only needs 5 matlab formulas you can get
Saliency-Detection
- 《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
src_mrogh_FANBIN_2012
- 一个演示如何使用“LineMatcher”库的示例,该库用于生成仿射不变匹配直线。详细算法参考Bin Fan, Fuchao Wu and Zhanyi Hu. Line Matching Leveraged by Point Correspondences, In CVPR 2010, pp 390-391. 示例中基于opencv2.2获取匹配点，系统配置为 Win 7 32bits + VS2010 realese -A de
MUSTer_code_v1.1
- 追踪目标，根据cvpr论文而写，十分有效，游泳。为matlab代码。-object tracking,get idea a cvpr paper.it is very useful and powerfull
Exploit_All_the_Layers
- CVPR会议的2016最新论文，提出了目标检测的相关模型改进-CVPR conference 2016 latest paper, proposed a target detection model improvements
ssd-method-for-object-detection
- ssd是当前目标检测领域的最先进的研究方法，也是今年CVPR会议的最新成果-Ssd is the most advanced research method in the current target detection field and the latest achievement of this year s CVPR conference
CmCode-master
- 基于opencv的objecness检测算法，是MINGMINGCHENG在cvpr上提出的，需要配置opencv环境-Opencv based objecness detection algorithm is proposed cvpr MINGMINGCHENG on, you need to configure opencv environment
cvpr12_wei_code
- SCM目标跟踪算法，cvpr 12年文章-Target tracking algorithm named SCM
CNN_face_detection-master
- Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
SPM_SC
- This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper Linear Spatial Pyramid Matching using Sparse Coding for Image Classification .基于空间金字塔匹配的稀疏编码，用于图像检索，识别与分类-This packag
2011_CVPR_Intrinsic images using optimization
- Intrinsic images using optimization,2011的CVPR
SaliencySeg-master
- 【2015-CVPR】-Saliency-aware geodesic video object segmentation
cvpr16_deblur_study-master
- 16年CVPR论文A Comparative Study for Single Image Blind Deblurring 对应的代码-code for A Comparative Study for Single Image Blind Deblurring
diffusion-retrieval-master
- 【2017-CVPR】-Diffusion on Region Manifolds
sso
- 【2012-CVPR】-Affinity Learning via Self-diffusion for Image Segmentation and Clustering
CVPR-ScSPM
- 有关线性动态系统的稀疏编码和字典学习的Matlab源代码(Matlab source code about Sparse Coding and Dictionary Learning with Linear Dynamical Systems)
caffe_rtpose-master
- 姿态估计 该文章出自2017年的CVPR，Realtime Multi-Person 2D Pose Estimation using Part Affinity Field(We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a non- parametric repr