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Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载：10/1  |  提交时间：2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
A Novel Parameter-Optimized Recurrent Attention Network for Pipeline Leakage Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1064-1076
作者:  Tong Sun;  Chuang Wang;  Hongli Dong;  Yina Zhou;  Chuang Guan
Adobe PDF(3211Kb)  |  收藏  |  浏览/下载：182/58  |  提交时间：2023/03/22
Anomaly-attention mechanism (AM)  long short-term memory (LSTM)  parameter-optimized recurrent attention network (PRAN)  particle swarm optimization (PSO)  pipeline leakage detection (PLD)  
Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1192-1208
作者:  Zheyun Qin;  Xiankai Lu;  Xiushan Nie;  Dongfang Liu;  Yilong Yin;  Wenguan Wang
Adobe PDF(42794Kb)  |  收藏  |  浏览/下载：78/23  |  提交时间：2023/04/26
Embedding learning  generative model  normalizing flows  video instance segmentation (VIS)  
STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238
作者:  Zebing Wei;  Hongxia Zhao;  Zhishuai Li;  Xiaojie Bu;  Yuanyuan Chen;  Xiqiao Zhang;  Yisheng Lv;  Fei-Yue Wang
Adobe PDF(7068Kb)  |  收藏  |  浏览/下载：243/62  |  提交时间：2023/01/03
Deep learning  graph neural network (GNN)  multi-stream  spatial-temporal feature extraction  temporal graph  traffic prediction  
Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 603-631
作者:  Qinghai Miao;  Yisheng Lv;  Min Huang;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(11937Kb)  |  收藏  |  浏览/下载：799/144  |  提交时间：2023/03/02
Machine learning  parallel learning  parallel systems  sim-to-real  syn-to-real  virtual-to-real  
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:  Rui Jiang;  Ruixiang Zhu;  Hu Su;  Yinlin Li;  Yuan Xie;  Wei Zou
Adobe PDF(9061Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
Scribble-Supervised Video Object Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 339-353
作者:  Peiliang Huang;  Junwei Han;  Nian Liu;  Jun Ren;  Dingwen Zhang
Adobe PDF(15349Kb)  |  收藏  |  浏览/下载：155/23  |  提交时间：2021/11/03
Convolutional neural networks (CNNs)  scribble  self-attention  video object segmentation  weakly supervised  
A Cognitive Memory-Augmented Network for Visual Anomaly Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1296-1307
作者:  Tian Wang;  Xing Xu;  Fumin Shen;  Yang Yang
Adobe PDF(6796Kb)  |  收藏  |  浏览/下载：148/53  |  提交时间：2021/06/11
Cognitive computing  density estimation  memory  visual analysis systems  visual anomaly detection  
Deep Learning for EMG-based Human-Machine Interaction: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 512-533
作者:  Dezhen Xiong;  Daohui Zhang;  Xingang Zhao;  Yiwen Zhao
Adobe PDF(3921Kb)  |  收藏  |  浏览/下载：171/32  |  提交时间：2021/04/09
Accuracy  deep learning  electromyography (EMG)  human-machine interaction (HMI)  robustness  
Learning a Deep Predictive Coding Network for a Semi-Supervised 3D-Hand Pose Estimation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1371-1379
作者:  Jamal Banzi;  Isack Bulugu;  Zhongfu Ye
浏览  |  Adobe PDF(8152Kb)  |  收藏  |  浏览/下载：96/31  |  提交时间：2021/03/11
Convolutional neural networks  deep learning  hand pose estimation  human-machine interaction  predictive coding  recurrent neural networks  unsupervised learning