中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共6条，第1-6条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Global Instance Tracking: Locating Target More Like Humans 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 576-592
作者:  Hu, Shiyu;  Zhao, Xin;  Huang, Lianghua;  Huang, Kaiqi
Adobe PDF(15055Kb)  |  收藏  |  浏览/下载：238/55  |  提交时间：2023/02/22
Global instance tracking  single object tracking  benchmark dataset  performance evaluation  human tracking ability  
Combining 2D texture and 3D geometry features for Reliable iris presentation attack detection using light field focal stack 期刊论文
IET BIOMETRICS, 2022, 页码: 10
作者:  Luo, Zhengquan;  Wang, Yunlong;  Liu, Nianfeng;  Wang, Zilei
Adobe PDF(1236Kb)  |  收藏  |  浏览/下载：243/36  |  提交时间：2022/11/14
Temporal-adaptive sparse feature aggregation for video object detection 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 127, 页码: 108587
作者:  He, Fei;  Li, Qiaozhe;  Zhao, Xin;  Huang, Kaiqi
Adobe PDF(1549Kb)  |  收藏  |  浏览/下载：320/43  |  提交时间：2022/06/10
Video object detection  Temporal-adaptive sparse sampling  Pixel-adaptive aggregation  Object-relational aggregation  
Attention Enhanced Reinforcement Learning for Multi agent Cooperation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Zhen;  Yi, Jianqiang;  Wu, Shiguang
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：331/48  |  提交时间：2022/06/06
Training  Reinforcement learning  Games  Scalability  Task analysis  Standards  Optimization  Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems  
The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2021, 卷号: 29, 页码: 2242-2251
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Zhang, Pu
Adobe PDF(1907Kb)  |  收藏  |  浏览/下载：142/2  |  提交时间：2021/12/28
Spasticity quantification  portable assessment device  modified genetic algorithm  ensemble empirical mode decomposition (EEMD)  multi-layer fusion  
A Curiosity-Based Learning Method for Spiking Neural Networks 期刊论文
Frontiers in Computational Neuroscience, 2020, 卷号: 14, 期号: 14, 页码: 7
作者:  Shi, Mengting;  Zhang, Tielin;  Zeng, Yi
浏览  |  Adobe PDF(1349Kb)  |  收藏  |  浏览/下载：386/106  |  提交时间：2020/04/27
Curiosity  Spiking Neural Network  Novelty  Stdp  Voltage-driven Plasticity-centric Snn