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:
The Human Continuity Activity Semi-Supervised Recognizing Model for Multi-View IoT Network 期刊论文
IEEE Internet of Things Journal, 2023, 卷号: 17, 期号: 4, 页码: 2031-2046
作者:  Ruiwen Yuan;  Wang JP(王军平)
Adobe PDF(1265Kb)  |  收藏  |  浏览/下载:97/33  |  提交时间:2023/05/05
Unsupervised Anomaly Detection for Surface Defects with Dual-Siamese Network 期刊论文
IEEE Transactions on Industrial Informatics, 2022, 卷号: 1, 期号: 1, 页码: 1-11
作者:  Tao X(陶显);  Da-Peng Zhang;  Ma WZ(马文治);  Hou ZX(侯占新);  Lu ZF(逯正峰);  Chandranath Adak
Adobe PDF(8384Kb)  |  收藏  |  浏览/下载:245/53  |  提交时间:2022/03/03
缺陷检测  
Color‐Guided Depth Map Super‐Resolution Using a Dual‐Branch Multi‐Scale Residual Network with Channel Interaction 期刊论文
Sensors, 2020, 卷号: 20, 期号: 6, 页码: 1560
作者:  陈睿进;  高伟
浏览  |  Adobe PDF(2336Kb)  |  收藏  |  浏览/下载:255/62  |  提交时间:2020/04/30
Depth Map  Super‐resolution  Guidance  Residual Network  Channel Interaction  
A Pedestrian Dead-Reckoning System for Walking and Marking Time Mixed Movement Using an SHSs Scheme and a Foot-Mounted IMU 期刊论文
IEEE Sensors Journal, 2019, 卷号: 19, 期号: 5, 页码: 1661-1671
作者:  Wu, Yuan;  Zhu, Haibing;  Du, Qingxiu;  Tang, Shuming
浏览  |  Adobe PDF(2054Kb)  |  收藏  |  浏览/下载:418/112  |  提交时间:2019/05/04
Pedestrian Dead-reckoning  Imu  Step And Heading System  Gait Partitioning  Motion Classification  Ekf Filtering  Marking Time  Trajectory Estimation  
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation 期刊论文
IEEE Trans. Pattern Anal. Machine Intell., 2019, 卷号: 41, 期号: 5, 页码: 1027-1042
作者:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
浏览  |  Adobe PDF(865Kb)  |  收藏  |  浏览/下载:402/134  |  提交时间:2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
High-quality 3D Reconstruction with Depth Super-resolution and Completion 期刊论文
IEEE Access, 2019, 卷号: 7, 期号: 1, 页码: 19370-19381
作者:  Li JW(李建伟);  Gao W(高伟);  Wu YH(吴毅红)
浏览  |  Adobe PDF(4152Kb)  |  收藏  |  浏览/下载:330/95  |  提交时间:2019/04/22
Deep Learning  Super-resolution  Image Processing  Depth Completion  3d Reconstruction