中文版 | English

在结果中检索

OPT 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：
Facial Attention based Convolutional Neural Network for 2D+3D Facial Expression Recognition 会议论文
2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019, Sydney, NSW, Australia, 2019-12-01
作者:  Jiao, Yang;  Niu, Yi;  Zhang, Yuting;  Li, Fu;  Zou, Chunbo;  Shi, Guangming
Adobe PDF(2372Kb)  |  收藏  |  浏览/下载：217/0  |  提交时间：2020/03/06
facial expression recognition  2D+3D  facial attention  discriminative regions  
A stereo matching with reconstruction network for lowlight stereo vision 会议论文
Proceedings of 2019 2nd International Conference on Signal Processing and Machine Learning, SPML 2019, Hangzhou, China, 2019-11-27
作者:  Tang, Rui;  Zhang, Geng;  Liu, Xuebin
Adobe PDF(967Kb)  |  收藏  |  浏览/下载：207/1  |  提交时间：2020/03/06
stereo matching  low-light image  image reconstruction  image denoising  
Prediction of penetration depth of earth penetrator based on neural network 会议论文
2019 3rd International Workshop on Renewable Energy and Development, IWRED 2019 - Energy Efficient Systems and Optimization Theory, Guangzhou, China, 2019-03-08
作者:  Zhuo, Chen;  Huixiang, Sun;  Yingwu, Wang;  Huan, Niu
Adobe PDF(727Kb)  |  收藏  |  浏览/下载：215/0  |  提交时间：2019/07/16
Air quality prediction based on LSTM-kalman model 会议论文
Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019, Chongqing, China, 2019-05-24
作者:  Song, Xijuan;  Huang, Jijiang;  Song, Dawei
Adobe PDF(1625Kb)  |  收藏  |  浏览/下载：186/1  |  提交时间：2019/09/20
Air quality prediction  LSTM model  Kalman filtering  LSTM-Kalman model  Sequence learning  
An inquiry on image enhancement methods of remote sensing images 会议论文
Eleventh International Conference on Digital Image Processing, ICDIP 2019, Guangzhou, China, 2019-05-10
作者:  Liu, Jiwei;  Pu, Xiaoqiu;  Wen, Desheng;  Song, Zongxi;  Chen, Junyu
Adobe PDF(1043Kb)  |  收藏  |  浏览/下载：165/0  |  提交时间：2019/10/10
Remote sensing information  image enhancement  contrast  brightness  
Hyperspectral image classification with imbalanced data based on oversampling and convolutional neural network 会议论文
AOPC 2019: AI in Optics and Photonics, Beijing, China, 2019-07-07
作者:  Cai, Lei;  Zhang, Geng
Adobe PDF(359Kb)  |  收藏  |  浏览/下载：103/2  |  提交时间：2020/02/28
hyperspectral classification  imbalanced data  SMOTE, oversampling  convolutional neural network