中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
Real-time segmentation of various insulators using generative adversarial networks 期刊论文
IET COMPUTER VISION, 2018, 卷号: 12, 期号: 5, 页码: 596-602
作者:  Chang, Wenkai;  Yang, Guodong;  Yu, Junzhi;  Liang, Zize
Adobe PDF(4584Kb)  |  收藏  |  浏览/下载：473/76  |  提交时间：2019/12/16
image segmentation  insulators  neural nets  power engineering computing  real-time pixel-level segmentation  generative adversarial networks  insulator segmentation algorithm  cluttered background  artificial thresholds  compact end-to-end neural network  visual saliency map  proposed two-stage training  segmentation quality  
Integration of cloud top heights retrieved from FY-2 meteorological satellite, radiosonde, and ground-based millimeter wavelength cloud radar observations 期刊论文
ATMOSPHERIC RESEARCH, 2018, 卷号: 214, 页码: 284-295
作者:  Wang, Yu;  Wang, Chunheng;  Shi, Cunzhao;  Xiao, Baihua
浏览  |  Adobe PDF(763Kb)  |  收藏  |  浏览/下载：382/117  |  提交时间：2019/05/06
Cloud top height  Bayesian decision theory  Data integration  Satellite observation  Radiosonde observation  Radar observation  
A Vision-Based Robotic Grasping Approach under the Disturbance of Obstacles 会议论文
, Changchun, China, August 5-8, 2018
作者:  Xionglei, Zhao;  Zhiqiang, Cao;  Qun, Jia;  Lei, Pang;  Yingying, Yu;  Min, Tan
浏览  |  Adobe PDF(2049Kb)  |  收藏  |  浏览/下载：347/108  |  提交时间：2019/05/05
Object Recognition, Localization and Grasp Detection Using a Unified Deep Convolutional Neural Network with Multi-task Loss 会议论文
IEEE International Conference on Robotics and Biomimetics, 吉隆坡, 2018年12月12~15号
作者:  Qun, Jia;  Zhiqiang, Cao;  Xionglei, Zhao;  Lei, Pang;  Yingying, Yu;  Junzhi, Yu
浏览  |  Adobe PDF(2230Kb)  |  收藏  |  浏览/下载：330/85  |  提交时间：2019/05/05
Estimation of 3-D Pose with 2-D Vision based on Shape Matching Method 会议论文
, Siem Reap, Cambodia, 2018-12-14
作者:  Bin Chen;  Jianhua Su;  Kun Lv
浏览  |  Adobe PDF(2468Kb)  |  收藏  |  浏览/下载：187/60  |  提交时间：2018/10/08
3D object recognition,Shape context,Similarity measure