These CVPR 2019 papers are the Open Access versions, provided by the Computer Vision Foundation. Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore....
These CVPR 2019 papers are the Open Access versions, provided by the Computer Vision Foundation. Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore....
神文链接：http://openaccess.thecvf.com/content_CVPR_2019/papers/He_Filter_Pruning_via_Geometric_...
3D手网络模型结构 Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection:http://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Reasoning-RCNN_Unifying_Adaptive_Global_Reasoning_Into_Large-Scale_Object_Detection_CVPR_2019_paper.pdf 随着计算机视觉的广泛应用,目标检测得到了...
https://objectcut.com/ 使用教程演示。项目作者表示，这一工具所使用方法基于 CVPR 2019 论文《BASNet: Boundary-Aware Salient Object Detection》，并使用了一些相关的公开数据集来进行训练，包括 ECSSD、SOD、DUTS 等。论文地址：https://openaccess.thecvf.com/content_CVPR_2019/papers/Qin_BASNet_Boundary-Aware...
论文链接:https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dean_Fast_Accurate_Detection_2013_CVPR_paper.pdf 2012年最佳论文 一个针对基于活动分解非刚性结构的简单、无先验方法 A Simple Prior-free Method for Non-Rigid Structure-from-Motion Factorization 核心内容:作者提出一种简单的「无...
https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dean_Fast_Accurate_Detection_2013_CVPR_paper.pdf 2012年最佳论文 一个针对基于活动分解非刚性结构的简单、无先验方法 A Simple Prior-free Method for Non-Rigid Structure-from-Motion Factorization ...
论文链接：https://openaccess.thecvf.com/content/CVPR2021/papers/Xu_Discrimination-Aware_Mechanism_for_Fine-Grained_Representation_Learning_CVPR_2021_paper.pdf 细粒度检索 细粒度检索任务是指数据集来自于一个具体的类别，比如狗、猫、人、车、鸟等，需要匹配出具体类别下的个体身份，比如 Person A，Person B...
https://openaccess.thecvf.com/content_cvpr_2017/html/Huang_Densely_Connected_Convolutional_CVPR_2017_paper.html DenseNet 如下图所示,很明显基本思路与ResNet一致,但是它建立的是前面所有层与后面层的密集连接(dense connection) 第六名:Inception v3 ...
全部链接:http://openaccess.thecvf.com/CVPR2019.py 下载链接:https://pan.baidu.com/s/1J6qRJgVXWIg4hsLpGRfAiw 密码:bei7 * [CVPR 2019全部论文开源源码汇总Excel点这里](https://github.com/extreme-assistant/cvpr2019/blob/master/cvpr_2019_githublinks.csv) * CVPR2019最佳论文:A Theory of Ferma...