中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共10条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
RI-LIO: Reflectivity Image Assisted Tightly-Coupled LiDAR-Inertial Odometry 期刊论文
IEEE Robotics and Automation Letters, 2023, 卷号: 8, 期号: 3, 页码: 1802-1809
作者:  Yanfeng Zhang;  Yunong Tian;  Wanguo Wang;  Guodong Yang;  Zhishuo Li;  Fengshui Jing;  Min Tan
Adobe PDF(7657Kb)  |  收藏  |  浏览/下载：111/0  |  提交时间：2023/04/27
Self-Supervised Local Topology Representation for Random Cluster Matching 期刊论文
IEEE Robotics and Automation Letters, 2023, 页码: 1303 - 1310
作者:  Chang WK(常文凯)
Adobe PDF(2955Kb)  |  收藏  |  浏览/下载：139/38  |  提交时间：2023/04/25
Structural Attention Enhanced Continual Meta-Learning for Graph Edge Labeling Based Few-Shot Remote Sensing Scene Classification 期刊论文
Remote Sensing, 2022, 期号: 14, 页码: 485
作者:  Li FM(李非墨);  Li SB(李帅博);  Fan XX(樊鑫鑫);  Li X(李雄);  Chang HX(常红星)
Adobe PDF(2512Kb)  |  收藏  |  浏览/下载：215/60  |  提交时间：2022/04/06
remote sensing scene classification  few shot learning  continual meta-learning  graph transformer  
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：185/31  |  提交时间：2022/01/07
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
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：143/46  |  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：155/37  |  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：167/45  |  提交时间：2022/01/06
Apple flower images acquisition  Apple flower images acquisition  Deep learning  MASU R-CNN  Instance segmentation  
fficient underwater image and video enhancement based on Retinex 期刊论文
Efficient underwater image and video enhancement based on Retinex, 2019, 卷号: none, 期号: none, 页码: none
作者:  Tang,Chong;  Freiherr von Lukas, Uwe;  Vahl, Matthias;  Wang, Shuo;  Wang, Yu;  Tan, Min
浏览  |  Adobe PDF(1170Kb)  |  收藏  |  浏览/下载：378/148  |  提交时间：2019/04/30
Underwater Video Processing  Color Correction  Contrast Improvement  Retinex  Msrcp  
Automatic recognition system of welding seam type based on SVM method 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 卷号: 92, 期号: 1-4, 页码: 989-999
作者:  Fan JF(范俊峰);  Jing FS(景奉水);  Fang ZJ(方灶军);  Tan M(谭民)
浏览  |  Adobe PDF(2124Kb)  |  收藏  |  浏览/下载：311/83  |  提交时间：2019/04/27
Welding Seam Type Recognition  Structured-light Vision  Svm Method  Feature Extraction  
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：286/82  |  提交时间：2019/04/24
Path Teaching, Stereo Structured Light, Welding Robot, 3d Reconstruction, Seam Extraction, Path Model.