中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共101条，第1-10条 帮助

  只显示已认领条目
已选(0)清除 条数/页：   排序方式：
Machine learning versus crop growth models: an ally, not a rival 期刊论文
AOB PLANTS, 2023, 卷号: 15, 期号: 2, 页码: 7
作者:  Zhang, Ningyi;  Zhou, Xiaohan;  Kang, Mengzhen;  Hu, Bao-Gang;  Heuvelink, Ep;  Marcelis, Leo F. M.
收藏  |  浏览/下载：32/0  |  提交时间：2023/11/17
Knowledge  and data-driven modelling  Machine learning  Process-based models  yield prediction  
Towards Corruption-Agnostic Robust Domain Adaptation 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2022, 卷号: 18, 期号: 4, 页码: 16
作者:  Xu, Yifan;  Sheng, Kekai;  Dong, Weiming;  Wu, Baoyuan;  Xu, Changsheng;  Hu, Bao-Gang
Adobe PDF(2116Kb)  |  收藏  |  浏览/下载：371/82  |  提交时间：2022/06/10
Domain adaptation  corruption robustness  transfer learning  
Incremental Concept Learning via Online Generative Memory Recall 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3206-3216
作者:  Li, Huaiyu;  Dong, Weiming;  Hu, Bao-Gang
收藏  |  浏览/下载：249/0  |  提交时间：2021/08/15
Task analysis  Learning systems  Neural networks  Feature extraction  Visualization  Knowledge engineering  Training  Catastrophic forgetting  continual learning  generative adversarial networks (GANs)  
Learning to assess visual aesthetics of food images 期刊论文
COMPUTATIONAL VISUAL MEDIA, 2021, 卷号: 7, 期号: 1, 页码: 139-152
作者:  Sheng, Kekai;  Dong, Weiming;  Huang, Haibin;  Chai, Menglei;  Zhang, Yong;  Ma, Chongyang;  Hu, Bao-Gang
收藏  |  浏览/下载：202/0  |  提交时间：2021/06/15
image aesthetic assessment  food image analysis  dataset  regularization  
Two decades of research with the GreenLab model in agronomy 期刊论文
ANNALS OF BOTANY, 2021, 卷号: 127, 期号: 3, 页码: 281-295
作者:  de Reffye, Philippe;  Hu, Baogang;  Kang, Mengzhen;  Letort, Veronique;  Jaeger, Marc
收藏  |  浏览/下载：169/0  |  提交时间：2021/06/15
FSPM  stochastic functional-structural plant model  organic series  organ cohorts  source and sink organs  
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning 会议论文
PMLR, Long Beach, California,, 2019-6
作者:  Li, Huaiyu;  Dong, Weiming;  Mei, Xing;  Ma, Chongyang;  Huang, Feiyue;  Hu, Baogang
浏览  |  Adobe PDF(831Kb)  |  收藏  |  浏览/下载：222/32  |  提交时间：2020/06/11
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning 会议论文
International Conference on Machine Learning, Long Beach, CA, USA, 2019-6
作者:  Huaiyu Li;  Weiming Dong;  Xing Mei;  Chongyang Ma;  Feiyue Huang;  Bao-Gang Hu
收藏  |  浏览/下载：248/0  |  提交时间：2019/06/19
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation 会议论文
IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, 2019-6
作者:  Yong Zhang;  Baoyuan Wu;  Weiming Dong;  Zhifeng Li;  Wei Liu;  Bao-Gang Hu;  Qiang Ji
收藏  |  浏览/下载：240/0  |  提交时间：2019/06/19
Semi-Supervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 150743-150756
作者:  Zhang, Yong;  Fan, Yanbo;  Dong, Weiming;  Hu, Bao-Gang;  Ji, Qiang
收藏  |  浏览/下载：245/0  |  提交时间：2020/03/30
Gold  Estimation  Hidden Markov models  Training  Face  Task analysis  Neural networks  Facial action units  intensity estimation  deep learning  weakly supervised learning  
Gourmet Photography Dataset for Aesthetic Assessment of Food Images 会议论文
, Tokyo, Japan, 2018-12-4 2018-12-7
作者:  Kekai, Sheng;  Weiming, Dong;  Haibin, Huang;  Chongyang, Ma;  Bao-Gang, Hu
浏览  |  Adobe PDF(3080Kb)  |  收藏  |  浏览/下载：340/78  |  提交时间：2019/06/18