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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：18/2  |  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  
Insulator defect detection for power grid based on light correction enhancement and YOLOv5 model 期刊论文
Energy Reports, 2022, 卷号: 13, 期号: 8, 页码: 807-814
作者:  Yi Li;  Minzhe Ni;  Yanfeng Lu
Adobe PDF(1752Kb)  |  收藏  |  浏览/下载：43/21  |  提交时间：2024/06/06
PmcaNet: Pyramid multiscale channel attention network for electron microscopy image segmentation 期刊论文
Journal of Intelligent & Fuzzy Systems, 2024, 卷号: 46, 期号: 2, 页码: 4895-4907
作者:  Gao, Kaihan;  Ju, Yiwei;  Li, Shuai;  Yang, Xuebing;  Zhang, Wensheng;  Li, Guoqing
Adobe PDF(1371Kb)  |  收藏  |  浏览/下载：44/10  |  提交时间：2024/05/28
Electron microscopy  Image segmentation  Convolutional neural network  Multiscale feature pyramid  
Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2023, 卷号: 33, 期号: 3, 页码: 1335 - 1348
作者:  Fu Yujie;  Zhang Pengju;  Liu Bingxi;  Rong Zheng;  Wu Yihong
Adobe PDF(4879Kb)  |  收藏  |  浏览/下载：61/26  |  提交时间：2024/05/28
Image Matching  Large Scale Changes  Scale Difference Reduction  Scale Ratio Estimation  Covisibility-attention-reinforced Matching Module  
Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo
Adobe PDF(2164Kb)  |  收藏  |  浏览/下载：115/16  |  提交时间：2024/02/22
Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition  
SpatioTemporal Inference Network for Precipitation Nowcasting With Multimodal Fusion 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 1299-1314
作者:  Jin, Qizhao;  Zhang, Xinbang;  Xiao, Xinyu;  Wang, Ying;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(8766Kb)  |  收藏  |  浏览/下载：88/8  |  提交时间：2024/02/21
Data mining  multimodal knowledge discovery  precipitation nowcasting  
A Novel Biologically Inspired Structural Model for Feature Correspondence 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:  Lu, Yan-Feng;  Yang, Xu;  Li, Yi;  Yu, Qian;  Liu, Zhi-Yong;  Qiao, Hong
Adobe PDF(4447Kb)  |  收藏  |  浏览/下载：186/14  |  提交时间：2023/11/17
Visualization  Biological system modeling  Biology  Brain modeling  Biological information theory  Task analysis  Strain  Appearance feature descriptor  biologically inspired model  feature correspondence  feature representation  graph matching (GM)  graph structure  
PCUNet: A Context-Aware Deep Network for Coarse-to-Fine Point Cloud Completion 期刊论文
IEEE Sensors Journal, 2022, 卷号: 22, 期号: 15, 页码: 15098-15110
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Liu, Sheng;  Han, Yunjun;  Wang, Fei-Yue
Adobe PDF(4497Kb)  |  收藏  |  浏览/下载：169/31  |  提交时间：2023/06/27
DCAT: Dual Cross-Attention-Based Transformer for Change Detection 期刊论文
Remote Sensing, 2023, 卷号: 15, 期号: 9, 页码: 2395
作者:  Yuan Zhou;  Chunlei Huo;  Jiahang Zhu;  Leigang Huo;  Chunhong Pan
Adobe PDF(47919Kb)  |  收藏  |  浏览/下载：163/22  |  提交时间：2023/06/16
change detection  transformer  dual cross-attention  remote sensing  
Automatic polyp segmentation via image-level and surrounding-level context fusion deep neural network 期刊论文
Engineering Applications of Artificial Intelligence, 2023, 卷号: 123, 期号: 2023, 页码: 106168
作者:  Wang, Changwei;  Xu, Rongtao;  Xu, Shibiao;  Meng, Weiliang;  Zhang, Xiaopeng
Adobe PDF(2131Kb)  |  收藏  |  浏览/下载：240/49  |  提交时间：2023/04/27
Context information fusion  Colonoscopy  Polyp segmentation  Image-level and surrounding-level context