中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共4条，第1-4条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on MultiScale Dense Classification Network 期刊论文
Frontiers in Plant Science, 2021, 期号: 12, 页码: 1-12
作者:  Tian YN(田雨农)
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：170/27  |  提交时间：2022/01/07
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
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：150/37  |  提交时间：2022/01/06
Apple flower images acquisition  Apple flower images acquisition  Deep learning  MASU R-CNN  Instance segmentation  
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：141/34  |  提交时间：2022/01/06
optical sensors  deep learning  lesion detection  CycleGAN  DenseNet  YOLO-V3 model  
A Novel 3-D Path Extraction Method for Arc Welding Robot Based on Stereo Structured Light Sensor 期刊论文
IEEE Sensors Journal, 2018, 卷号: 19, 期号: 2, 页码: 763 - 773
作者:  Lei,yang;  En,li;  Teng,long;  Junfeng,fan;  Zize,liang
浏览  |  Adobe PDF(6208Kb)  |  收藏  |  浏览/下载：267/76  |  提交时间：2019/04/24
Path Teaching, Stereo Structured Light, Welding Robot, 3d Reconstruction, Seam Extraction, Path Model.