搜索资源列表
gloc
- Instructions for example codes of the following paper: Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling Andrew Kae, Kihyuk Sohn, Honglak Lee and Erik Learned-Miller CVPR, 2013 project page: http://vis-www.cs
BBS_code_and_data_release_v1.0
- Best Buddies Similarity for Robust Template Matching论文代码，实现卢邦的土相匹配功能-Best Buddies Similarity for Robust Template Matching，Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
ssdesc-cpp-1.1.1.tar
- 用C++实现的自相似性描述的源代码（matlab包装）用来特征提取特征侦测等。-C++ Implementation (with MATLAB wrapper) of the Self-Similarity Descr iptor by Ken Chatfield based on the paper Matching Local Self-Similarities across Images and Videos, by Eli Shechtman and Michal Irani at CV
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 the results you want, nor very
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
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)
Realtime_Multi-Person_Pose_Estimation-master
- CVPR文章Realtime_Multi-Person_Pose_Estimation的实现程序(CVPR article Realtime_Multi-Person_Pose_Estimation implementation process)
cvpr16_deblur_study-master(1)
- 摘自CVPR会议图像去模糊代码，去模糊效果非常好(From the CVPR conference image to blur the code, deblurring is very good)
PCA_Saliency_CVPR2013
- 包含了发表在2013年CVPR期刊上的论文的源代码 论文题目：What makes a patch distinct? 论文作者：Margolin, R., Tal, A., Zelnik-Manor, L.(Margolin, R., Tal, A., Zelnik-Manor, L.: What makes a patch distinct?)
CVPR10-LLC
- 稀疏表达的CVPR10年的文章的代码，Locality-constrained Linear Coding for Image Classification (CVPR'10)(Locality-constrained Linear Coding for Image Classification (CVPR'10))
Dropout
- Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification 2016年CVPR的一篇论文 行人再识别方法(Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification A CVPR Paper 2016 Pedestrian Reidenti