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QSFM: Model Pruning Based on Quantified Similarity Between Feature Maps for AI on Edge 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 23, 页码: 24506-24515
作者:  Wang, Zidu;  Liu, Xuexin;  Huang, Long;  Chen, Yunqing;  Zhang, Yufei;  Lin, Zhikang;  Wang, Rui
收藏  |  浏览/下载：128/0  |  提交时间：2023/02/22
Tensors  Internet of Things  Convolution  Three-dimensional displays  Quantization (signal)  Hardware  Training  Edge computing  filter pruning  Internet of Things (IoT)  model compression  neural networks  
Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games 期刊论文
IEEE TRANSACTIONS ON GAMES, 2022, 卷号: 14, 期号: 4, 页码: 644-653
作者:  Xu, Pei;  Yin, Qiyue;  Zhang, Junge;  Huang, Kaiqi
Adobe PDF(1480Kb)  |  收藏  |  浏览/下载：300/74  |  提交时间：2023/02/22
Deep learning  exploration  reinforcement learning  video game  
A Framework and Operational Procedures for Metaverses-Based Industrial Foundation Models 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 10
作者:  Wang, Jiangong;  Tian, Yonglin;  Wang, Yutong;  Yang, Jing;  Wang, Xingxia;  Wang, Sanjin;  Kwan, Oliver
Adobe PDF(3322Kb)  |  收藏  |  浏览/下载：132/38  |  提交时间：2023/02/22
Cyber-physical-social intelligence (CPSI)  cyber-physical-social systems (CPSSs)  industrial foundation models (IFMs)  intelligent enterprises  metaverses  operational processes  parallel intelligence  
A Parallel Teacher for Synthetic-to-Real Domain Adaptation of Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 441-455
作者:  Wang, Jiangong;  Shen, Tianyu;  Tian, Yonglin;  Wang, Yutong;  Gou, Chao;  Wang, Xiao;  Yao, Fei;  Sun, Changyin
Adobe PDF(2602Kb)  |  收藏  |  浏览/下载：271/64  |  提交时间：2022/11/28
Object detection  Feature extraction  Data models  Training  Knowledge engineering  Detectors  Computational modeling  Computer vision  Unsupervised Domain Adaptation  Teacher-student learning  Traffic object detection  
A modified YOLOv4 detection method for a vision-based underwater garbage cleaning robot 期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2022, 卷号: 23, 期号: 8, 页码: 1217-1228
作者:  Tian, Manjun;  Li, Xiali;  Kong, Shihan;  Wu, Licheng;  Yu, Junzhi
收藏  |  浏览/下载：178/0  |  提交时间：2022/11/14
Object detection  Aquatic environment  Garbage cleaning robot  Modified YOLOv4  TP242  
MsIFT: Multi-Source Image Fusion Transformer 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 16, 页码: 19
作者:  Zhang, Xin;  Jiang, Hangzhi;  Xu, Nuo;  Ni, Lei;  Huo, Chunlei;  Pan, Chunhong
Adobe PDF(4788Kb)  |  收藏  |  浏览/下载：303/80  |  提交时间：2022/11/14
transformer  multi-source image fusion  non-local  
Multitask deep active contour-based iris segmentation for off-angle iris images 期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2022, 卷号: 31, 期号: 4, 页码: 21
作者:  Lu, Tianhao;  Wang, Caiyong;  Wang, Yunlong;  Sun, Zhenan
Adobe PDF(5346Kb)  |  收藏  |  浏览/下载：237/32  |  提交时间：2022/11/14
iris recognition  iris segmentation  off-angle iris image  active contour  attention mechanism  
Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data 期刊论文
CELL REPORTS, 2022, 卷号: 40, 期号: 5, 页码: 28
作者:  Liu, Jing;  Qi, Junqian;  Chen, Xi;  Li, Zhenchen;  Hong, Bei;  Ma, Hongtu;  Li, Guoqing;  Shen, Lijun;  Liu, Danqian;  Kong, Yu;  Zhai, Hao;  Xie, Qiwei;  Han, Hua;  Yang, Yang
收藏  |  浏览/下载：280/0  |  提交时间：2022/09/19
Bidirectional Siamese correlation analysis method for enhancing the detection of SSVEPs 期刊论文
JOURNAL OF NEURAL ENGINEERING, 2022, 卷号: 19, 期号: 4, 页码: 20
作者:  Zhang, Xinyi;  Qiu, Shuang;  Zhang, Yukun;  Wang, Kangning;  Wang, Yijun;  He, Huiguang
收藏  |  浏览/下载：182/0  |  提交时间：2022/09/19
brain-computer interface (BCI)  electroencephalogram (EEG)  deep learning  steady-state visual evoked potential (SSVEP)  
AHDet: A dynamic coarse-to-fine gaze strategy for active object detection 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 522-532
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Pan, Chunhong
Adobe PDF(2664Kb)  |  收藏  |  浏览/下载：296/57  |  提交时间：2022/09/19
Object detection  Active object detection  Deep reinforcement learning  Convolutional neural networks