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Hedonic Coalition Formation for Distributed Task Allocation in Heterogeneous Multi-agent System 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2024, 页码: 13
作者:  Wang, Lexing;  Qiu, Tenghai;  Pu, Zhiqiang;  Yi, Jianqiang;  Zhu, Jinying;  Yuan, Wanmai
Adobe PDF(2578Kb)  |  收藏  |  浏览/下载：94/7  |  提交时间：2024/03/13
Coalition formation  hedonic games  heterogeneous agents  Nash stable  task allocation  
IDO: Instance dual-optimization for weakly supervised object detection 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 18
作者:  Ren, Zhida;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(3668Kb)  |  收藏  |  浏览/下载：59/4  |  提交时间：2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning  
PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:  Li, Zhikai;  Chen, Mengjuan;  Xiao, Junrui;  Gu, Qingyi
收藏  |  浏览/下载：66/0  |  提交时间：2023/11/17
Data-free quantization  model compression  patch similarity  quantized vision transformers (ViTs)  
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Chai, Jiajun;  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(2469Kb)  |  收藏  |  浏览/下载：51/0  |  提交时间：2023/11/16
Large-scale multiagent  neighboring communication  reinforcement learning (RL)  variational information flow  
Disturbance Rejection Control for Underwater Free-Floating Manipulation 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 卷号: 27, 期号: 5, 页码: 3742 - 3750
作者:  Lv, Jiaqi;  Wang, Yu;  Tang, Chong;  Wang, Shuo;  Xu, Wenxing;  Wang, Rui;  Tan, Min
Adobe PDF(10105Kb)  |  收藏  |  浏览/下载：331/35  |  提交时间：2022/01/27
Disturbance observer-based control (DOBC)  fast arctangent nonsingularity terminal sliding mode controller (FANTSMC)  underwater biomimetic vehicle-manipulator system (UBVMS)  underwater manipulation  Estimation  
Multitask Learning for Ship Detection From Synthetic Aperture Radar Images 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 8048-8062
作者:  Zhang, Xin;  Huo, Chunlei;  Xu, Nuo;  Jiang, Hangzhi;  Cao, Yong;  Ni, Lei;  Pan, Chunhong
Adobe PDF(12575Kb)  |  收藏  |  浏览/下载：284/46  |  提交时间：2021/11/03
Task analysis  Feature extraction  Radar polarimetry  Object detection  Marine vehicles  Detectors  Synthetic aperture radar  Multitask learning  synthetic aperture radar (SAR)  SAR ship detection  
Learning Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2386-2397
作者:  Wang, Wei;  Gao, Junyu;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(2165Kb)  |  收藏  |  浏览/下载：338/45  |  提交时间：2021/11/02
Feature extraction  Encoding  Task analysis  Semantics  Data models  Cognition  Focusing  Video-text retrieval  graph neural network  coarse-to-fine strategy  
Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
BIOSYSTEMS ENGINEERING, 2020, 卷号: 193, 页码: 264-278
作者:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Li, En;  Liang, Zize
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载：393/107  |  提交时间：2020/06/02
Apple flower images acquisition  Image augmentation  Deep learning  MASU R-CNN  Instance segmentation  
Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 184581-184598
作者:  Liu, Yating;  Wang, Kunfeng;  Li, Xuesong;  Bai, Tianxiang;  Wang, Fei-Yue
Adobe PDF(4276Kb)  |  收藏  |  浏览/下载：210/33  |  提交时间：2020/03/30
Visual tracking  bibliographic analysis  collaboration patterns  research hotspots  parallel vision  
Pairwise Interactions among Brain Regions Organize Large-Scale Functional Connectivity during Execution of Various Tasks 期刊论文
NEUROSCIENCE, 2019, 卷号: 412, 页码: 190-206
作者:  Niu, Weikun;  Huang, Xuhui;  Xu, Kaibin;  Jiang, Tianzi;  Yu, Shan
Adobe PDF(7177Kb)  |  收藏  |  浏览/下载：397/68  |  提交时间：2019/12/16
task state fMRI  pairwise correlation  functional network  neural network model