https://blog.csdn.net/qq_32417287/article/details/80102466 abstract introduction method overview Deep architecture for place recognition NetVLAD: A Generalized VLAD layer (fVLADfVLAD f_{VLAD}) Max pooling (fmax) Learning from Time Machine data Experi…

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https://towardsdatascience.com/real-time-and-video-processing-object-detection-using-tensorflow-opencv-and-docker-2be1694726e5 https://www.pyimagesearch.com/2018/11/12/yolo-object-detection-with-opencv/ https://www.pyimagesearch.com/2017/09/18/real-t…

新在ICCV上发的弱监督物体检测文章,偷偷高兴一下,贴出我的poster,最近有点忙,话不多说,欢迎交流- https://arxiv.org/pdf/1904.00551.pdf http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Weakly_Supervised_Object_Detection_With_Segmentation_Collaboration_ICCV_2019_paper.pdf @inproceedings{…

转自:http://blog.csdn.net/kezunhai/article/details/50176209 ================华丽分割线=================这部分来自知乎==================== 链接:http://www.zhihu.com/question/33272629/answer/60279003 有关action recognition in videos, 最近自己也在搞这方面的东西,该领域水很深,不过其实主流就那几招,我就班门…

================华丽分割线=================这部分来自知乎==================== 链接:http://www.zhihu.com/question/33272629/answer/60279003 有关action recognition in videos, 最近自己也在搞这方面的东西,该领域水很深,不过其实主流就那几招,我就班门弄斧说下video里主流的: Deep Learning之前最work的是INRIA组的Improved Dense…

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论文标题:Multi-View Region Adaptive Multi-temporal DMM and RGB Action Recognition 来源/作者机构情况: 解决问题/主要思想贡献: 使用多角度训练,多时间适应训练,还有深度和RGB的结合,是的动作识别具有很强的鲁棒性 成果/优点: 1.在各类数据集中,都取得了不错的成绩 2.鲁棒性强 缺点: 感觉只是把目前各大算法组合在一起,没有根本上的创新 反思改进/灵感: ################################…

CVPR2019 1.An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition 作者:Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan 论文链接:https://arxiv.org/abs/1902.09130 2.Improving the Performance of Unimodal Dynami…

( 这篇博文为原创,如需转载本文请email我: leizhao.mail@qq.com, 并注明来源链接,THX!) 本文主要分享了一篇来自CVPR 2018的论文,A Closer Look at Spatiotemporal Convolutions for Action Recognition.这篇论文主要介绍了Video Classification.Action Recognition方面的工作,包括2D.3D以及混合卷积等多种方法,最重要的贡献在于提出(2+1)D的结构. 1. R…