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CASIA OpenIR

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Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：261/66  |  提交时间：2022/12/27
Decoding  Brain modeling  Functional magnetic resonance imaging  Predictive models  Emotion recognition  Dimensionality reduction  Pattern recognition  Fine-grained emotion decoding  multi-label learning  multi-view learning  product of experts (PoEs)  variational autoencoder  
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels 会议论文
, 美国, 2020
作者:  Peng, Junran;  Bu, Xingyuan;  Sun, Ming;  Zhang, Zhaoxiang;  Tan, Tieniu;  Yan, Junjie
浏览  |  Adobe PDF(4727Kb)  |  收藏  |  浏览/下载：247/40  |  提交时间：2021/01/19
Object detection  Large-scale recognition  Multi-label recognition  
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：389/103  |  提交时间：2020/01/14
Crowd video understanding , Attribute recognition , Attention mechanism , Multi-label classification  
A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 4, 页码: 1575-1590
作者:  Li, Dangwei;  Zhang, Zhang;  Chen, Xiaotang;  Huang, Kaiqi
收藏  |  浏览/下载：333/0  |  提交时间：2019/07/12
Pedestrian retrieval  person re-identification  pedestrian attribute recognition  multi-label learning  
Multi-label learning with missing labels for image annotation and facial action unit recognition 期刊论文
PATTERN RECOGNITION, 2015, 卷号: 48, 期号: 7, 页码: 2279-2289
作者:  Wu, Baoyuan;  Lyu, Siwei;  Hu, Bao-Gang;  Ji, Qiang
浏览  |  Adobe PDF(706Kb)  |  收藏  |  浏览/下载：526/228  |  提交时间：2015/09/21
Multi-label Learning  Missing Labels  Image Annotation  Facial Action Unit Recognition