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CASIA OpenIR
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AHDet: A dynamic coarse-to-fine gaze strategy for active object detection 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 522-532
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Pan, Chunhong
Adobe PDF(2664Kb)  |  收藏  |  浏览/下载：268/56  |  提交时间：2022/09/19
Object detection  Active object detection  Deep reinforcement learning  Convolutional neural networks  
Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation 会议论文
, 蒙特利尔, 2022-4
作者:  Mao BJ(毛彬杰);  Zhang XB(张新邦);  Wang LF(汪凌峰);  Zhang Q(张骞);  Xiang SM(向世明);  Pan CH(潘春洪)
Adobe PDF(1353Kb)  |  收藏  |  浏览/下载：95/44  |  提交时间：2023/05/30
Hyperparameter Configuration Learning for Ship Detection From Synthetic Aperture Radar Images 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Cao, Yong;  Pan, Chunhong
Adobe PDF(4808Kb)  |  收藏  |  浏览/下载：267/70  |  提交时间：2022/02/16
Radar polarimetry  Synthetic aperture radar  Marine vehicles  Training  Feature extraction  Optimization  Optical sensors  Hyperparameter configuration learning (HCL)  object detection  reinforcement learning (RL)  synthetic aperture radar (SAR)  
Extracting Effective Image Attributes with Refined Universal Detection 期刊论文
SENSORS, 2021, 卷号: 21, 期号: 1, 页码: 16
作者:  Yu, Qiang;  Xiao, Xinyu;  Zhang, Chunxia;  Song, Lifei;  Pan, Chunhong
Adobe PDF(2391Kb)  |  收藏  |  浏览/下载：274/52  |  提交时间：2021/03/01
attribute extraction  Refined Universal Detection  word tree  image captioning  
Multitask Learning for Ship Detection From Synthetic Aperture Radar Images 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 8048-8062
作者:  Zhang, Xin;  Huo, Chunlei;  Xu, Nuo;  Jiang, Hangzhi;  Cao, Yong;  Ni, Lei;  Pan, Chunhong
Adobe PDF(12575Kb)  |  收藏  |  浏览/下载：227/40  |  提交时间：2021/11/03
Task analysis  Feature extraction  Radar polarimetry  Object detection  Marine vehicles  Detectors  Synthetic aperture radar  Multitask learning  synthetic aperture radar (SAR)  SAR ship detection  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(4817Kb)  |  收藏  |  浏览/下载：377/85  |  提交时间：2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning  
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 4774-4789
作者:  Fan, Bin;  Kong, Qingqun;  Wang, Xinchao;  Wang, Zhiheng;  Xiang, Shiming;  Pan, Chunhong;  Fua, Pascal
Adobe PDF(3986Kb)  |  收藏  |  浏览/下载：308/69  |  提交时间：2019/12/16
Local feature  image reconstruction  structure from motion (SFM)  3D vision  image matching  
Scene text detection and recognition with advances in deep learning: a survey 期刊论文
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2019, 卷号: 22, 期号: 2, 页码: 143-162
作者:  Liu, Xiyan;  Meng, Gaofeng;  Pan, Chunhong
Adobe PDF(2418Kb)  |  收藏  |  浏览/下载：269/30  |  提交时间：2019/07/11
Natural image  Text detection  Text recognition  Survey  
Semantic labeling in very high resolution images via a self-cascaded convolutional neural network 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 卷号: 145, 期号: 1, 页码: 78-95
作者:  Liu, Yongcheng;  Fan, Bin;  Wang, Lingfeng;  Bai, Jun;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1679Kb)  |  收藏  |  浏览/下载：448/94  |  提交时间：2019/01/08
Semantic labeling  Convolutional neural networks (CNNs)  Multi-scale contexts  End-to-end  
Vision-Based Occlusion Handling and Vehicle Classification for Traffic Surveillance Systems 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2018, 卷号: 10, 期号: 2, 页码: 80-92
作者:  Chang, Jianlong;  Wang, Lingfeng;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(789Kb)  |  收藏  |  浏览/下载：434/161  |  提交时间：2018/01/16
Visual Occlusion  Recursive Segmentation  Vehicle Classification  Deep Convolutional Neural Network