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 workshop 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....
http://openaccess.thecvf.com/CVPR2019.pyopenaccess.thecvf.com/CVPR2019.py 1. A Style-Based Generator Architecture for Generative Adversarial Networks http://openaccess.thecvf.com/content_CVPR_2019/papers/Karras_A_Style-Based_Generator_Architecture_for_Generative_Adversarial_Networks_CVPR_2019_pa...
http://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Auto-DeepLab_Hierarchical_Neural_Architecture_Search_for_Semantic_Image_Segmentation_CVPR_2019_paper.html 作者:Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei 论文标题:AutoAugment: Learning...
论文地址:openaccess.thecvf.com/c 论文代码:GitHub - thuml/Universal-Domain-Adaptation: Code release for Universal Domain Adaptation(CVPR 2019) 论文作者:清华大学龙明盛老师的团队,对这个名字熟悉是因为后来我看的好多篇DA的论文,想到的idea发现他们团队都做过了 论文简介: 这篇论文主要是提出了一种新的问题...
根据CVPR 2018 的论文列表(http://openaccess.thecvf.com/CVPR2018.py)在谷歌学术进行搜索,得到数据如下(以 2019 年 3 月 19 日检索到的数据为准,因第 2 名及第 3 名数据十分接近,不做明确排名) : “引用”指的是在论文中引述前人的研究成果,是作者表明其方法、观点和发现来源的标准方式。评价一篇论文的...
论文地址:http://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Large-Scale_Few-Shot_Learning_Knowledge_Transfer_With_Class_Hierarchy_CVPR_2019_paper.pdf?source=post_page物体识别之外(其它任务中的小样本学习) 论文:RepMet: Representative-based metric learning for classification and few-shot object ...
paper:http://openaccess.thecvf.com/content_CVPR_2019/html/Huang_Generative_Dual_Adversarial_Network_for_Generalized_Zero-Shot_Learning_CVPR_2019_paper.html3.Learning Inter-pixel Relations for Weakly Supervised Instance Segmentation(Oral) paper:https://arxiv.org/abs/1904.050444.Unsupervised Person Image...
4. Reasoning-RCNN: Unifying Adaptive Global Reasoning intoLarge-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 ...
论文地址:http://openaccess.thecvf.com/content_CVPR_2019/papers/Yoon_Self-Supervised_Adaptation_of_High-Fidelity_Face_Models_for_Monocular_Performance_Tracking_CVPR_2019_paper.pdf《微密集 DensePose:从稀少的标注和运动线索中进行精细学习》 Slim DensePose: Thrifty Learning from Sparse Annotations and Motion...