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Enhancing Class-incremental Object Detection in Remote Sensing Through Instance-aware Distillation 期刊论文
Neurocomputing, 2024, 卷号: 583, 页码: 127552
作者:  Feng HT(冯航涛);  Zhang L(张璐);  Yang X(杨旭);  Liu ZY(刘智勇)
Adobe PDF(2152Kb)  |  收藏  |  浏览/下载：22/7  |  提交时间：2024/05/28
Class-incremental object detection  Remote sensing  Object detection  
A Novel Biologically Inspired Structural Model for Feature Correspondence 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:  Lu, Yan-Feng;  Yang, Xu;  Li, Yi;  Yu, Qian;  Liu, Zhi-Yong;  Qiao, Hong
Adobe PDF(4447Kb)  |  收藏  |  浏览/下载：172/10  |  提交时间：2023/11/17
Visualization  Biological system modeling  Biology  Brain modeling  Biological information theory  Task analysis  Strain  Appearance feature descriptor  biologically inspired model  feature correspondence  feature representation  graph matching (GM)  graph structure  
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Hu, Guangzheng;  Zhu, Yuanheng;  Zhao, Dongbin;  Zhao, Mengchen;  Hao, Jianye
Adobe PDF(4187Kb)  |  收藏  |  浏览/下载：250/9  |  提交时间：2022/01/27
Bandwidth  Protocols  Reinforcement learning  Task analysis  Optimization  Communication networks  Multi-agent systems  Event trigger  limited bandwidth  multi-agent communication  multi-agent reinforcement learning (MARL)  
Design and Locomotion Control of a Dactylopteridae-Inspired Biomimetic Underwater Vehicle With Hybrid Propulsion 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 13
作者:  Zhang, Tiandong;  Wang, Rui;  Wang, Yu;  Cheng, Long;  Wang, Shuo;  Tan, Min
Adobe PDF(4770Kb)  |  收藏  |  浏览/下载：287/50  |  提交时间：2022/01/27
Propulsion  DC motors  Robots  Control systems  Servomotors  Underwater vehicles  Sports  Biomimetic underwater vehicle (BUV)  body andor caudal fin (BCF)  median and or paired fin (MPF) hybrid propulsion  central pattern generators (CPGs)  fuzzy proportion integral differential (PID)  
Self-Attention Based Visual-Tactile Fusion Learning for Predicting Grasp Outcomes 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 卷号: 5, 期号: 4, 页码: 5827-5834
作者:  Cui, Shaowei;  Wang, Rui;  Wei, Junhang;  Hu, Jingyi;  Wang, Shuo
Adobe PDF(1535Kb)  |  收藏  |  浏览/下载：351/62  |  提交时间：2020/08/31
Grasping  perception for grasping and manipulation  multi-modal perception  force and tactile sensing