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SASOD: Saliency-Aware Ship Object Detection in High-Resolution Optical Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 15
作者:  Ren, Zhida;  Tang, Yongqiang;  Yang, Yang;  Zhang, Wensheng
Adobe PDF(5807Kb)  |  收藏  |  浏览/下载：12/1  |  提交时间：2024/07/03
ship detection  Saliency detection  high-resolution optical images  remote sensing  Deep learning  Feature extraction  Marine vehicles  Object detection  Remote sensing  Optical sensors  Optical imaging  saliency detection  
Extracting Muscle Geometrical Features With a Fabric-Based Wearable Sensor for Human Motion Intent Recognition 期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: 1-11
作者:  Zheng EH(郑恩昊);  Jiacheng Wan;  Nanxing Hu;  Qining Wang
Adobe PDF(2867Kb)  |  收藏  |  浏览/下载：24/10  |  提交时间：2024/06/25
Sensors  Robot sensing systems  Muscles  Wearable sensors  Shape  Force  Feature extraction  Fabric-based sensors  human motion recognition  muscle features  wearable sensing  
Visual Tracking via Spatially Aligned Correlation Filters Network 会议论文
, Munich, Germany, September 8, 2018 - September 14, 2018
作者:  Zhang, Mengdan;  Wang, Qiang;  Xing, Junliang;  Gao, Jin;  Peng, Peixi;  Hu, Weiming;  Maybank, Steve
Adobe PDF(1118Kb)  |  收藏  |  浏览/下载：33/11  |  提交时间：2024/06/21
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 3, 页码: 1881-1897
作者:  Gao, Jin;  Lu, Yan;  Qi, Xiaojuan;  Kou, Yutong;  Li, Bing;  Li, Liang;  Yu, Shan;  Hu, Weiming
Adobe PDF(915Kb)  |  收藏  |  浏览/下载：34/13  |  提交时间：2024/06/21
Visualization  Training  Adaptation models  Data models  Optimization  Task analysis  Robustness  Online learning  few-shot online adaptation  visual tracking  continual learning  recursive least-squares estimation  
FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 170, 页码: 107996
作者:  Yue Cui;  Haibin Huang;  Jialu Liu;  Mingyang Zhao;  Chengyi Li;  Xinyong Han;  Na Luo;  Jinquan Gao;  Dong-ming Yan;  Chen Zhang;  Tianzi Jiang;  Shan Yu
Adobe PDF(985Kb)  |  收藏  |  浏览/下载：41/8  |  提交时间：2024/06/21
Cerebral vessels  Generalization  Markov random field  Segmentation  TOF-MRA  Unsupervised learning  
Explainable enterprise credit rating using deep feature crossing 期刊论文
Expert Systems With Applications, 2023, 卷号: 220, 期号: c, 页码: 1-12
作者:  Weiyu Guo;  Zhijiang Yang;  Shu Wu;  Fu Chen;  Xiuli Wang;  Fu Chen
Adobe PDF(1259Kb)  |  收藏  |  浏览/下载：25/10  |  提交时间：2024/06/20
NPR: Nocturnal Place Recognition Using Nighttime Translation in Large-Scale Training Procedures 期刊论文
IEEE Journal of Selected Topics in Signal Processing, 2024, 卷号: Early Access, 页码: 1-13
作者:  Liu Bingxi;  Fu Yujie;  Lu Feng;  Cui Jinqiang;  Wu Yihong;  Zhang Hong
Adobe PDF(12989Kb)  |  收藏  |  浏览/下载：22/7  |  提交时间：2024/06/20
Visual Place Recognition  Robotic Vision  Image- to-Image Translation  Night Computer Vision  
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection 会议论文
, 法国巴黎, 2023/10/2-2023/10/6
作者:  Fan L(范略);  Yang YX(杨禹雪);  Mao YM(毛一鸣);  Wang F(王峰);  Chen YT(陈韫韬);  Wang NY(王乃岩);  Zhang ZX(张兆翔)
Adobe PDF(1175Kb)  |  收藏  |  浏览/下载：37/13  |  提交时间：2024/06/18
点云目标检测  自动驾驶  
Fast Noninvasive Morphometric Characterization of Free Human Sperms Using Deep Learning 期刊论文
Microscopy and Microanalysis, 2022, 卷号: 28, 期号: 5, 页码: 1767-1779
作者:  Guole Liu;  Hao Shi;  Huan Zhang;  Yating Zhou;  Yujiao Sun;  Wei Li;  Xuefeng Huang;  Yuqiang Jiang;  Yaliang Fang;  Ge Yang
Adobe PDF(1167Kb)  |  收藏  |  浏览/下载：33/15  |  提交时间：2024/06/11
bright-field microscopy  deep learning  human sperm  intracytoplasmic sperm injection  sperm morphology  
Learning Robust Communication by Adversarial Training in Networked System Control 期刊论文
Lecture Notes in Electrical Engineering, 2024, 页码: Chapter 52 978-981-97-3335-4
作者:  Runji, Lin;  Haifeng, Zhang
Adobe PDF(8334Kb)  |  收藏  |  浏览/下载：35/12  |  提交时间：2024/06/11
Networked System Control  Robustness  Communicative Multi-Agent Reinforcement Learning