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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:22/0  |  提交时间:2023/07/12
two-stage CNN framework  recognition of reservoirs  remote sensing  deep learning  Sentinel-2  object detection  
Decoupled R-CNN: Sensitivity-Specific Detector for Higher Accurate Localization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 9, 页码: 6324-6336
作者:  Wang, Dong;  Shang, Kun;  Wu, Huaming;  Wang, Ce
收藏  |  浏览/下载:30/0  |  提交时间:2022/12/07
Proposals  Detectors  Task analysis  Sensitivity  Object detection  Training  Feature extraction  Object detection  R-CNN  two-stage detection  decoupled sampling strategy  decoupled R-CNN  
Adaptive weighted imbalance learning with application to abnormal activity recognition 期刊论文
NEUROCOMPUTING, 2016, 卷号: 173, 页码: 1927-1935
作者:  Gao, Xingyu;  Chen, Zhenyu;  Tang, Sheng;  Zhang, Yongdong;  Li, Jintao
收藏  |  浏览/下载:46/0  |  提交时间:2019/12/13
MHealth  Imbalance learning  Two-stage  Fall detection