中文版 | English

在结果中检索

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：
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition 会议论文
, Long Beach, CA, United states, June 16, 2019 - June 20, 2019
作者:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(691Kb)  |  收藏  |  浏览/下载：267/69  |  提交时间：2021/01/26
Mixing Update Q-value for Deep Reinforcement Learning 会议论文
, Budapest, Hungary, 2019/7/14-19
作者:  Li Zhunan;  Hou Xinwen
浏览  |  Adobe PDF(468Kb)  |  收藏  |  浏览/下载：198/78  |  提交时间：2020/06/10
A Gallery-Guided Graph Architecture for Sequential Impurity Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: 0, 页码: 149105-149116
作者:  He, Wenhao;  Song, Haitao;  Guo, Yue;  Yin, Xiaoyi;  Wang, Xiaonan;  Bian, Guibin;  Qian, Wen
浏览  |  Adobe PDF(3588Kb)  |  收藏  |  浏览/下载：374/68  |  提交时间：2020/03/30
Impurities  Proposals  Feature extraction  Training  Convolutional neural networks  Task analysis  Impurity detection  gallery-guided graph  feature embedding  graph convolutional neural network  
Recurrent Prediction with Spatio-temporal Attention for Crowd Attribute Recognition 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2019, 卷号: 30, 期号: Early Access, 页码: 1 - 1
作者:  Li, Qiaozhe;  Zhao, Xin;  He, Ran;  Huang, Kaiqi
浏览  |  Adobe PDF(2648Kb)  |  收藏  |  浏览/下载：423/107  |  提交时间：2020/01/14
Crowd video understanding , Attribute recognition , Attention mechanism , Multi-label classification  
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：304/14  |  提交时间：2019/07/12
Mixed Supervised Object Detection with Robust Objectness Transfer 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, 卷号: 41, 期号: 3, 页码: 639-653
作者:  Li Y(李岩);  Zhang JG(张俊格);  Huang KQ(黄凯奇);  Zhang JG(张建国)
浏览  |  Adobe PDF(1165Kb)  |  收藏  |  浏览/下载：396/102  |  提交时间：2019/04/19
Weakly Supervised Detection  Mixed Supervised Detection  Robust Objectness Transfer