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Toward Efficient Computing for Robotics: From a Circuit and System View 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 卷号: 69, 期号: 7, 页码: 3051-3056
作者:  Xu, Haobo;  Yang, Yuxin;  Min, Feng;  Huang, Junpei;  Chen, Xiaoming;  Han, Yinhe;  Sun, Ninghui
收藏  |  浏览/下载:29/0  |  提交时间:2022/12/07
Robots  Kinematics  Planning  Field programmable gate arrays  Image edge detection  Estimation  Circuits and systems  Robotics  accelerator  hardware  kinematics  motion planning  perception  
VCSNet: V-fused color saliency net 期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 页码: 12
作者:  Xu, Binjing;  Wu, Qiong;  Qin, Hong;  Liu, Zhiyuan;  Shi, Lin;  Li, Shuang
收藏  |  浏览/下载:33/0  |  提交时间:2022/12/07
color attention  deep learning  eye movement  saliency detection  
Defect detection on new samples with siamese defect-aware attention network 期刊论文
APPLIED INTELLIGENCE, 2022, 页码: 16
作者:  Zheng, Ye;  Cui, Li
收藏  |  浏览/下载:32/0  |  提交时间:2022/12/07
Defect detection  Unseen samples  Siamese attention  Convolutional neural network  Template image  
DeepCS: Training a deep learning model for cervical spondylosis recognition on small-labeled sensor data 期刊论文
NEUROCOMPUTING, 2022, 卷号: 472, 页码: 24-34
作者:  Wang, Nana;  Luo, Chunjie;  Huang, Xi;  Huang, Yunyou;  Zhan, Jianfeng
收藏  |  浏览/下载:23/0  |  提交时间:2022/12/07
Cervical spondylosis recognition  High-dimensional time series sensor data  Convolutional neural network  Network architecture search  Feature extraction  
FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2022, 卷号: 184, 页码: 116-130
作者:  Sun, Xian;  Wang, Peijin;  Yan, Zhiyuan;  Xu, Feng;  Wang, Ruiping;  Diao, Wenhui;  Chen, Jin;  Li, Jihao;  Feng, Yingchao;  Xu, Tao;  Weinmann, Martin;  Hinz, Stefan;  Wang, Cheng;  Fu, Kun
收藏  |  浏览/下载:23/0  |  提交时间:2022/12/07
Remote sensing images  Fine-grained object detection and recognition  Deep learning  Benchmark dataset  Convolutional neural network (CNN)