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Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
biosystems engineering, 2020, 期号: 193, 页码: 264-278
作者:  Tian YN(田雨农)
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载：184/50  |  提交时间：2022/01/06
Apple flower images acquisition  Apple flower images acquisition  Deep learning  MASU R-CNN  Instance segmentation  
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:  Ding ZX(丁子祥);  Yaran, Chen;  Nannan, Li;  Dingbin, Zhao;  Zhiquan, Sun;  C. L. Philip Chen
Adobe PDF(2713Kb)  |  收藏  |  浏览/下载：202/48  |  提交时间：2022/01/06
Broad convolutional neural network (BCNN), image classification, neural architecture search (NAS), reinforcement learning (RL)  
CADN: A weakly supervised learning-based category-aware object detection network for surface defect detection 期刊论文
Pattern Recognition, 2020, 期号: 109, 页码: 1-9
作者:  Jiabin, Zhang;  Hu, Su;  Wei, Zou;  Xinyi, Gong;  Zhengtao, Zhang;  Fei, Shen
Adobe PDF(1838Kb)  |  收藏  |  浏览/下载：230/45  |  提交时间：2021/06/17
Weakly supervised learning  Automated surface inspection  Defect detection  Knowledge distillation  
Dense Mapping From an Accurate Tracking SLAM 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 6, 页码: 1565-1574
作者:  Weijie Huang;  Guoshan Zhang;  Xiaowei Han
浏览  |  Adobe PDF(23670Kb)  |  收藏  |  浏览/下载：182/31  |  提交时间：2021/03/11
Adaptive weights  data association  dense mapping  hash table  simultaneous localization and mapping (SLAM)  
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：134/43  |  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  
IoT-Enabled Autonomous System Collaboration for Disaster-Area Management 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1249-1262
作者:  Abenezer Girma;  Niloofar Bahadori;  Mrinmoy Sarkar;  Tadewos G. Tadewos;  Mohammad R. Behnia;  M. Nabil Mahmoud;  Ali Karimoddini;  Abdollah Homaifar
浏览  |  Adobe PDF(19796Kb)  |  收藏  |  浏览/下载：240/51  |  提交时间：2021/03/11
Architectural analysis and design language (AADL) and cloud computing  disaster area management  internet of things (IoT)  message queuing telemetry transport (MQTT)  unmanned aerial vehicle (UAV)  unmanned ground vehicle (UGV)  
A Spatial-Temporal Attention Model forHuman Trajectory Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 4, 页码: 965-974
作者:  Xiaodong Zhao;  Yaran Chen;  Jin Guo;  Dongbin Zhao
浏览  |  Adobe PDF(42191Kb)  |  收藏  |  浏览/下载：139/31  |  提交时间：2021/03/11
Attention mechanism  long-short term memory (LSTM)  spatial-temporal model  trajectory prediction  
Urban Sensing Based on Mobile Phone Data: Approaches, Applications, and Challenges 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 627-637
作者:  Mohammadhossein Ghahramani;  MengChu Zhou;  Gang Wang
浏览  |  Adobe PDF(3738Kb)  |  收藏  |  浏览/下载：158/41  |  提交时间：2021/03/11
Big data analysis  human mobility  origin destination matrices  smart infrastructure  urban planning  
Proximity Based Automatic Data Annotation for Autonomous Driving 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 395-404
作者:  Chen Sun;  Jean M. Uwabeza Vianney;  Ying Li;  Long Chen;  Li Li;  Fei-Yue Wang;  Amir Khajepour;  Dongpu Cao
浏览  |  Adobe PDF(12990Kb)  |  收藏  |  浏览/下载：216/54  |  提交时间：2021/03/11
Affordance learning  autonomous vehicles  data synchronization  scene understanding  
Artificial Intelligence Applications in the Development of Autonomous Vehicles: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 315-329
作者:  Yifang Ma;  Zhenyu Wang;  Hong Yang;  Lin Yang
浏览  |  Adobe PDF(2175Kb)  |  收藏  |  浏览/下载：164/46  |  提交时间：2021/03/11
Artificial intelligence (AI)  autonomous vehicles (AVs)  deep learning (DL)  motion planning  perception  self-driving