搜索资源列表
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 package contains the Matlab codes im
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 representation, which we refer to
voc-release3.1
- DPM作者获得 2010年CVPR终生成就奖，DPM是在HOG的基础上进行改进，解决了HOG算子的不足，并且对SVM也进行了小幅度改善提出了LSVM这个概念(DPM is improved on the basis of HOG. It solves the shortcomings of HOG operator, and makes a small improvement on SVM. The concept of LSVM is proposed)
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)
code-knfst
- CVPR文章“Kernel Null Space Methods for Novelty Detection”的代码(CVPR article "Kernel Null Space Methods for Novelty Detection" code)
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)
deblur_denoise-master
- 离焦模糊图像的盲复原算法，关于图像复原给了很好的算法图像复原(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?)
csr-dcf-master
- 17年cvpr上的目标跟踪方法CSR-DCF的matlab源码(Matlab implementation of the DCF-CSR tracker from the paper published in the proceedings of Conference on Computer Vision and Pattern Recognition (CVPR) 2017.)
High-Dimensional-LBP-master
- 我的高维LBP特征的人脸识别方法董晨，徐东曺，方文执行，简隼。维度祝福：高维特征及其对人脸验证的有效压缩。计算机视觉与模式识别（CVPR），2013。我用OpenCV的人脸检测和人脸地标检测内部接口。实现的详细信息可以在Bor Chun Chen、楚松晨、Winston H. Hsu中找到。审查和高维局部二进制模式及其在人脸识别中的应用实施，技术报告tr-iis-14-003，中央研究院信息科学研究所，2014。（PDF）如果您使用此代码进行研究，请引用上面的技术报告。有关更多信息，请访问项目网
ECO-master
- 这是2017年的cvpr的一篇关于目标跟踪的论文，我也没看，但是介绍说跑的很好(ECO: Efficient Convolution Operators for Tracking)
bayesian-matting-master
- 本文将以图像抠图领域的经典算法——贝叶斯抠图（Bayesian Matting）为例来介绍有关图像抠图技术的一些内容。贝叶斯抠图源自文献【2】，是2001年发表在CVPR上的一篇经典论文。(the image matting using classic bayesian approach)
SR
- 《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。(Saliency Detection: A Spectral Residual Approach)
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))
caffe-cvpr
- 显着区域检测是计算机视觉中长期存在的问题。它旨在找到最能吸引人眼睛注意的图像中的像素或区域。准确和可靠的显着性检测可以从视觉追踪和识别到图形图像处理等众多任务中受益。例如，成功的对象检测算法有助于自动图像分割，更可靠的对象检测，有效的图像缩略和重定位(Significant regional detection is a long-term problem in computer vision. It aims to find the pixels or regions of the most