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A Deep Learning Method Based on Two-Stage CNN Framework for Recognition of Chinese Reservoirs with Sentinel-2 Images 期刊论文
WATER, 2022, 卷号: 14, 期号: 22, 页码: 21
作者:  Zhao, Guodongfang;  Yao, Ping;  Fu, Li;  Zhang, Zhibin;  Lu, Shanlong;  Long, Tengfei
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
two-stage CNN framework  recognition of reservoirs  remote sensing  deep learning  Sentinel-2  object detection  
FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2022, 卷号: 184, 页码: 116-130
作者:  Sun, Xian;  Wang, Peijin;  Yan, Zhiyuan;  Xu, Feng;  Wang, Ruiping;  Diao, Wenhui;  Chen, Jin;  Li, Jihao;  Feng, Yingchao;  Xu, Tao;  Weinmann, Martin;  Hinz, Stefan;  Wang, Cheng;  Fu, Kun
收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07
Remote sensing images  Fine-grained object detection and recognition  Deep learning  Benchmark dataset  Convolutional neural network (CNN)  
Geometric moment invariants to spatial transform and N-fold symmetric blur 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 115, 页码: 14
作者:  Mo, Hanlin;  Hao, Hongxiang;  Li, Hua
收藏  |  浏览/下载：37/0  |  提交时间：2021/12/01
Blurred image  Blur invariants  Moment invariants  Spatial transform  N-fold symmetry  Object recognition  Template matching  
Local-binarized very deep residual network for visual categorization 期刊论文
NEUROCOMPUTING, 2021, 卷号: 430, 页码: 82-93
作者:  Liu, Xuejing;  Li, Liang;  Wang, Shuhui;  Zha, Zheng-Jun;  Huang, Qingming
收藏  |  浏览/下载：38/0  |  提交时间：2021/12/01
Network compression and acceleration  Pose estimation  Object recognition  Saliency detection  Local binary residual block  
Recognizing Global Dams From High-Resolution Remotely Sensed Images Using Convolutional Neural Networks 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 6363-6371
作者:  Fang, Weizhen;  Sun, Yiyuan;  Ji, Rui;  Wan, Wei;  Ma, Lei
收藏  |  浏览/下载：26/0  |  提交时间：2021/12/01
Dams  Image recognition  Remote sensing  Earth  Training  Internet  Object recognition  Convolutional neural networks (CNNs)  dams  deep learning  Google earth  object recognition  
Image Representations With Spatial Object-to-Object Relations for RGB-D Scene Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 525-537
作者:  Song, Xinhang;  Jiang, Shuqiang;  Wang, Bohan;  Chen, Chengpeng;  Chen, Gongwei
收藏  |  浏览/下载：40/0  |  提交时间：2020/12/10
Feature extraction  Object detection  Image recognition  Layout  Data models  Recurrent neural networks  Scene recognition  object-to-object relation  sequential representations  RGB-D  object detection  
Cross-Modality Bridging and Knowledge Transferring for Image Understanding 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2675-2685
作者:  Yan, Chenggang;  Li, Liang;  Zhang, Chunjie;  Liu, Bingtao;  Zhang, Yongdong;  Dai, Qionghai
收藏  |  浏览/下载：277/0  |  提交时间：2019/12/10
Object and scene recognition  image semantic search  cross-modality bridging  multi-task learning  knowledge transferring  
Image Projective Invariants 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 5, 页码: 1144-1157
作者:  Li, Erbo;  Mo, Hanlin;  Xu, Dong;  Li, Hua
收藏  |  浏览/下载：72/0  |  提交时间：2019/08/16
2D projective transformation  relative projective differential invariant  projective weighted moment invariant  planar object recognition  
Hybrid incremental learning of new data and new classes for hand-held object recognition 期刊论文
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2019, 卷号: 58, 页码: 138-148
作者:  Chen, Chengpeng;  Min, Weiqing;  Li, Xue;  Jiang, Shuqiang
收藏  |  浏览/下载：71/0  |  提交时间：2019/04/03
Incremental learning  Object recognition  SVM  Human-machine interaction  
Binary Volumetric Convolutional Neural Networks for 3-D Object Recognition 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 1, 页码: 38-48
作者:  Ma, Chao;  Guo, Yulan;  Lei, Yinjie;  An, Wei
收藏  |  浏览/下载：271/0  |  提交时间：2019/04/03
3-D object recognition  convolutional neural network (CNN)  deep learning (DL)  network binarization  volumetric representation