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CASIA OpenIR

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High-Voltage Power Transmission Tower Detection Based on Faster R-CNN and YOLO-V3 会议论文
, 广州, 2019.7.27
作者:  Hao Wang;  Guodong Yang;  En Li;  Yunong Tian;  Meng Zhao;  Zize Liang
Adobe PDF(883Kb)  |  收藏  |  浏览/下载：201/71  |  提交时间：2021/06/18
object detection, images acquisition, power tower detection, Faster R-CNN, YOLO-V3  
Augmented Visual-semantic Embeddings for Image and Sentence Matching 会议论文
, Taipei, 2019.9.22-2019.9.25
作者:  Chen, Zerui;  Huang, Yan;  Wang, Liang
Adobe PDF(503Kb)  |  收藏  |  浏览/下载：196/68  |  提交时间：2021/06/03
Learning Depth-aware Heatmaps for 3D Human Pose Estimation in the Wild 会议论文
, Cardiff, UK, 2019.9.9-2019.9.12
作者:  Chen, Zerui;  Guo, Yiru;  Huang, Yan;  Wang, Liang
Adobe PDF(1410Kb)  |  收藏  |  浏览/下载：195/60  |  提交时间：2021/06/03
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks 会议论文
, San Francisco, CA, USA, 2019-5-12
作者:  Zeyu Cui;  Zekun Li;  Shu Wu;  Xiaoyu Zhang;  Liang Wang
Adobe PDF(3699Kb)  |  收藏  |  浏览/下载：191/33  |  提交时间：2021/06/01
Graph neural networks  Compatibility learning  multi-modal  
Design of a Dual-core Processor Based Controller with RTOS-GPOS Dual Operating System 会议论文
, Tianjin, China, 2019-8
作者:  Sun, Yuansong;  Li, En;  Yang, Guodong;  Liang, Zize;  Guo, Rui
浏览  |  Adobe PDF(306Kb)  |  收藏  |  浏览/下载：523/237  |  提交时间：2020/06/12
robot controller  embedded system  GPOS  RTOS  AMP  
Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network 期刊论文
JOURNAL OF SENSORS, 2019, 卷号: 2019, 页码: 8
作者:  Gao, Zishu;  Yang, Guodong;  Li, En;  Shen, Tianyu;  Wang, Zhe;  Tian, Yunong;  Wang, Hao;  Liang, Zize
Adobe PDF(2105Kb)  |  收藏  |  浏览/下载：374/81  |  提交时间：2020/03/30
Apple detection during different growth stages in orchards using the improved YOLO-V3 model 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 卷号: 157, 页码: 417-426
作者:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Wang, Hao;  Li, En;  Liang, Zize
Adobe PDF(1152Kb)  |  收藏  |  浏览/下载：374/113  |  提交时间：2019/07/12
Apple images acquisition  Image augmentation  Deep learning  YOLOV3-dense  Real-time detection  
Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense 期刊论文
JOURNAL OF SENSORS, 2019, 页码: 13
作者:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Li, En;  Liang, Zize
Adobe PDF(2312Kb)  |  收藏  |  浏览/下载：307/15  |  提交时间：2019/07/12