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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：12/2  |  提交时间：2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1781-1796
作者:  Hongyi Lin;  Yang Liu;  Shen Li;  Xiaobo Qu
Adobe PDF(1497Kb)  |  收藏  |  浏览/下载：108/67  |  提交时间：2023/08/10
Autonomous driving  generative adversarial network (GAN)  intelligent transportation system (ITS)  traffic anomaly inspection  traffic flow  
Axial Assembled Correspondence Network for Few-Shot Semantic Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 711-721
作者:  Yu Liu;  Bin Jiang;  Jiaming Xu
Adobe PDF(3290Kb)  |  收藏  |  浏览/下载：157/36  |  提交时间：2023/03/02
Artificial intelligence  computer vision  deep convolutional neural network  few-shot semantic segmentation  
Toward Coordination Control of Multiple Fish-Like Robots: Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1964-1976
作者:  Tianhao Zhang;  Jiuhong Xiao;  Liang Li;  Chen Wang;  Guangming Xie
Adobe PDF(40902Kb)  |  收藏  |  浏览/下载：109/12  |  提交时间：2021/09/03
Deep neural networks  formation control  multiple fish-like robots  pose estimation  pose tracking  
Vision Based Hand Gesture Recognition Using 3D Shape Context 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1600-1613
作者:  Chen Zhu;  Jianyu Yang;  Zhanpeng Shao;  Chunping Liu
Adobe PDF(20003Kb)  |  收藏  |  浏览/下载：119/37  |  提交时间：2021/09/03
3D shape context  depth map  hand shape segmentation  hand gesture recognition  human-computer interaction  
Towards Collaborative Robotics in Top View Surveillance: A Framework for Multiple Object Tracking by Detection Using Deep Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1253-1270
作者:  Imran Ahmed;  Sadia Din;  Gwanggil Jeon;  Francesco Piccialli;  Giancarlo Fortino
Adobe PDF(69436Kb)  |  收藏  |  浏览/下载：142/16  |  提交时间：2021/06/11
Collaborative robotics  deep learning  object detection and tracking  top view  video surveillance