CASIA OpenIR

浏览/检索结果: 共6条,第1-6条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Dual Balanced Class-Incremental Learning With im-Softmax and Angular Rectification 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2024, 页码: 1-16
作者:  Ruicong Zhi;  Yicheng Meng;  Junyi Hou;  Jun, Wan
Adobe PDF(16778Kb)  |  收藏  |  浏览/下载:22/5  |  提交时间:2024/06/21
DeepETPicker: Fast and accurate 3D particle picking for cryo-electron tomography using weakly supervised deep learning 期刊论文
Nature Communications, 2024, 卷号: 15, 期号: 1, 页码: 2090
作者:  Guole Liu;  Tongxin Niu;  Mengxuan Qiu;  Yun Zhu;  Fei Sun;  Ge Yang
Adobe PDF(7853Kb)  |  收藏  |  浏览/下载:29/8  |  提交时间:2024/06/11
Cryo-electron tomography  particle picking  deep learning  weakly supervised learning  
Model-Based Trajectory Planning of a Hybrid Robot for Powerline Inspection 期刊论文
IEEE Robotics and Automation Letters, 2024, 卷号: 9, 期号: 4, 页码: 3443-3450
作者:  Zhishuo, Li;  Yunong, Tian;  Guodong, Yang;  Yanfeng, Zhang;  En, Li;  Zize, Liang;  Min, Tan
Adobe PDF(2815Kb)  |  收藏  |  浏览/下载:64/26  |  提交时间:2024/05/31
Aerial systems  Applications  constrained motion planning  motion and path planning  
Apple detection during different growth stages in orchards using the improved YOLOV3 model 期刊论文
Computers and Electronics in Agriculture, 2019, 期号: 157, 页码: 417-426
作者:  Tian YN(田雨农)
Adobe PDF(4028Kb)  |  收藏  |  浏览/下载:175/59  |  提交时间:2022/01/07
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, 期号: 2019, 页码: 1-13
作者:  Tian YN(田雨农)
Adobe PDF(26755Kb)  |  收藏  |  浏览/下载:178/40  |  提交时间:2022/01/06
optical sensors  deep learning  lesion detection  CycleGAN  DenseNet  YOLO-V3 model  
Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
biosystems engineering, 2020, 期号: 193, 页码: 264-278
作者:  Tian YN(田雨农)
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载:187/51  |  提交时间:2022/01/06
Apple flower images acquisition  Apple flower images acquisition  Deep learning  MASU R-CNN  Instance segmentation