机译:基于端到端基于表示的视觉跟踪的分层卷积功能
Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University;
Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University;
Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University,State Key Laboratory of Integrated Services Networks, Xidian University;
Tracking; Siamese network; Deep neural network; Deep learning; End-to-end; Hierarchical convolutional features;
机译:改进了强大的Visual对象跟踪的分层卷积功能
机译:通过分层卷积功能进行可靠的视觉跟踪
机译:使用分层卷积功能模型和相关滤波器有效的对象跟踪
机译:一种基于层级卷积特征的改进的视觉跟踪方法
机译:使用Reid特征和图形卷积网络强大的多个对象跟踪
机译:基于自适应卷积特征和离线暹罗跟踪器的鲁棒视觉跟踪
机译:基于分层卷积特征的鲁棒视觉跟踪