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SASAN: Shape-Adaptive Set Abstraction Network for Point-Voxel 3D Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Zhang, Hui;  Luo, Guiyang;  Wang, Xiao;  Li, Yidong;  Ding, Weiping;  Wang, Fei-Yue
收藏  |  浏览/下载：15/0  |  提交时间：2024/07/03
Feature extraction  Three-dimensional displays  Detectors  Object detection  Proposals  Point cloud compression  Shape  3D object detection  autonomous driving  point-voxel detectors  
Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Gao, Jiaqi;  Huang, Zhizhong;  Lei, Yiming;  Shan, Hongming;  Wang, James Z.;  Wang, Fei-Yue;  Zhang, Junping
收藏  |  浏览/下载：76/0  |  提交时间：2024/02/22
Crowd counting  feature pyramid  ranking  semi-supervised learning  
Constrained Maximum Cross-Domain Likelihood for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Lin, Jianxin;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
Adobe PDF(2518Kb)  |  收藏  |  浏览/下载：165/6  |  提交时间：2023/11/17
Optimization  Feature extraction  Metalearning  Entropy  Training  Hospitals  Task analysis  Distribution shift  domain adaptation  domain generalization  domain-invariant representation  joint distribution alignment  
AAformer: Auto-Aligned Transformer for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11
作者:  Zhu, Kuan;  Guo, Haiyun;  Zhang, Shiliang;  Wang, Yaowei;  Liu, Jing;  Wang, Jinqiao;  Tang, Ming
收藏  |  浏览/下载：164/0  |  提交时间：2023/11/16
Auto-alignment  part-level representation  person re-identification (re-ID)  transformer  
Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Tian, Yonglin;  Shen, Yu;  Wang, Xiao;  Wang, Jiangong;  Wang, Kunfeng;  Ding, Weiping;  Wang, Zilei;  Wang, Fei-Yue
收藏  |  浏览/下载：369/0  |  提交时间：2023/03/20
Attention inside kernels  dynamic convolution  global context  local context  
Hierarchical Neighbors Embedding 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Liu, Shenglan;  Yu, Yang;  Liu, Kaiyuan;  Wang, Feilong;  Wen, Wujun;  Qiao, Hong
收藏  |  浏览/下载：203/0  |  提交时间：2023/01/09
Data sparsity  hierarchical neighbors  manifold learning  topological and geometrical properties. the introduced to  
Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:  Wang, Peisong;  He, Xiangyu;  Cheng, Jian
收藏  |  浏览/下载：267/0  |  提交时间：2022/07/25
Quantization (signal)  Deep learning  Convolution  Training  Biological neural networks  Optimization  Neurons  Acceleration  binarized neural networks (BNNs)  compression  fixed-point quantization  
VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Wei, Qinglai;  Li, Yugu;  Zhang, Jie;  Wang, Fei-Yue
收藏  |  浏览/下载：250/0  |  提交时间：2022/07/25
Mathematical models  Task analysis  Games  Q-learning  Neural networks  Behavioral sciences  Training  Deep learning  graph attention networks (GATs)  multiagent systems  reinforcement learning  
PWSNAS: Powering Weight Sharing NAS With General Search Space Shrinking Framework 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Hu, Yiming;  Wang, Xingang;  Gu, Qingyi
收藏  |  浏览/下载：239/0  |  提交时间：2022/06/10
Computer architecture  Training  Optimization  Extraterrestrial measurements  Estimation  Computational modeling  Search problems  Metric  neural architecture search (NAS)  search space shrinking  weight sharing  
Attention Enhanced Reinforcement Learning for Multi agent Cooperation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Zhen;  Yi, Jianqiang;  Wu, Shiguang
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：362/56  |  提交时间：2022/06/06
Training  Reinforcement learning  Games  Scalability  Task analysis  Standards  Optimization  Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems