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BViT: Broad Attention-Based Vision Transformer 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2023, 页码: 1 - 12
作者:  Nannan Li;  Yaran Chen;  Weifan Li;  Zixiang Ding;  Dongbin Zhao;  Shuai Nie
Adobe PDF(2171Kb)  |  收藏  |  浏览/下载：175/47  |  提交时间：2023/06/27
Broad attention  broad connection  image classification  parameter-free attention  vision transformer  
Integrating Relational Knowledge With Text Sequences for Script Event Prediction 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2023, 页码: early access
作者:  Zikang Wang;  Linjing Li;  Daniel Zeng
Adobe PDF(3215Kb)  |  收藏  |  浏览/下载：266/83  |  提交时间：2023/03/20
Multiexperience-Assisted Efficient Multiagent Reinforcement Learning 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2023, 页码: 1-15
作者:  Zhang TL(张天乐);  Liu Z(刘振);  Yi JQ(易建强);  Wu SG(吴士广);  Pu ZQ(蒲志强);  Zhao YJ(赵彦杰)
Adobe PDF(2718Kb)  |  收藏  |  浏览/下载：235/85  |  提交时间：2023/06/02
Dynamic-horizon model-based value estimation with latent imagination 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-14
作者:  Wang JJ(王俊杰);  Zhang QC(张启超);  Zhao DB(赵冬斌)
Adobe PDF(2305Kb)  |  收藏  |  浏览/下载：144/56  |  提交时间：2023/05/30
Latent world model  model-based value expansion (MVE)  reinforcement learning  reinforcement learning  
Recent Advances in Conventional and Deep Learning-Based Depth Completion: A Survey 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-21
作者:  Xie, Zexiao;  Yu, Xiaoxuan;  Gao, Xiang;  Li, Kunqian;  Shen, Shuhan
收藏  |  浏览/下载：187/0  |  提交时间：2022/11/14
Data fusion  Deep learning  Depth completion  Loss function  RGB-D and LiDAR data  
Learning Semantics-Consistent Stripes With Self-Refinement for Person Re-Identification 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-12
作者:  Zhu Kuan;  Guo Haiyun;  Liu Songyan;  Wang Jinqiao;  Tang Ming
Adobe PDF(4384Kb)  |  收藏  |  浏览/下载：109/30  |  提交时间：2023/06/08
Attention enhanced reinforcement learning for multi-agent cooperation 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 期号: 2022, 页码: 1-15
作者:  Zhiqiang Pu;  Huimu Wang;  Zhen Liu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：204/37  |  提交时间：2022/04/02
Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems  
Boost 3D Object Detection via Point Clouds Segmentation and Fused 3D GIoU-L1 Loss 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 期号: 无, 页码: 无
作者:  Yaran Chen;  Haoran Li;  Ruiyuan Gao;  Dongbin Zhao
收藏  |  浏览/下载：133/0  |  提交时间：2020/10/19
3D object detection, GIoU loss, Segmentation  
Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372
作者:  Zezhi Sui;  Zhiqiang Pu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(5344Kb)  |  收藏  |  浏览/下载：218/72  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
Unsupervised Network Quantization via Fixed-Point Factorization 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2020, 期号: 1, 页码: 1
作者:  Wang, Peisong;  He, Xiangyu;  Chen, Qiang;  Cheng, Anda;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(1998Kb)  |  收藏  |  浏览/下载：196/48  |  提交时间：2020/10/20
Acceleration , compression , deep neural networks (DNNs) , fixed-point quantization , unsupervised quantization.