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Speech Emotion Recognition Using Cascaded Attention Network with Joint Loss for Discrimination of Confusions 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 595-604
作者:  Yang Liu;  Haoqin Sun;  Wenbo Guan;  Yuqi Xia;   Zhen Zhao
Adobe PDF(1966Kb)  |  收藏  |  浏览/下载:0/0  |  提交时间:2024/04/23
Speech emotion recognition (SER), 3-dimensional (3D) feature, cascaded attention network (CAN), triplet loss, joint loss  
Dynamic Re-Weighting and Cross-Camera Learning for Unsupervised Person Re-Identification 期刊论文
MATHEMATICS, 2022, 卷号: 10, 期号: 10, 页码: 17
作者:  Yin, Qingze;  Wang, Guan'an;  Wu, Jinlin;  Luo, Haonan;  Tang, Zhenmin
收藏  |  浏览/下载:143/0  |  提交时间:2022/07/25
clustering  dynamic re-weighting  person attributes  cross-camera triplet loss  
Adaptively Weighted k-Tuple Metric Network for Kinship Verification 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:  Huang, Sheng;  Lin, Jingkai;  Huangfu, Luwen;  Xing, Yun;  Hu, Junlin;  Zeng, Daniel Dajun
收藏  |  浏览/下载:180/0  |  提交时间:2022/06/10
Measurement  Feature extraction  Task analysis  Faces  Deep learning  Convolutional neural networks  Genetics  Deep learning  kinship verification  metric learning  relation network (RN)  triplet loss  
Deep Multi-Modality Adversarial Networks for Unsupervised Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 9, 页码: 2419-2431
作者:  Ma, Xinhong;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(2142Kb)  |  收藏  |  浏览/下载:320/41  |  提交时间:2019/12/16
Unsupervised domain adaptation  triplet loss  stacked attention  multi-modality  social event recognition  
Adaptive Attention Annotation Model: Optimizing the Prediction Path through Dependency Fusion 期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 卷号: 13, 期号: 9, 页码: 4665-4683
作者:  Wang, Fangxin;  Liu, Jie;  Zhang, Shuwu;  Zhang, Guixuan;  Zheng, Yang;  Li, Xiaoqian;  Liang, Wei;  Li, Yuejun
浏览  |  Adobe PDF(1061Kb)  |  收藏  |  浏览/下载:372/56  |  提交时间:2019/10/08
image annotation  multiple dependencies  self-attention  prediction path  Triplet Margin loss  
Multi-View 3D Object Retrieval With Deep Embedding Network 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 12, 页码: 5526-5537
作者:  Guo, Haiyun;  Wang, Jinqiao;  Gao, Yue;  Li, Jianqiang;  Lu, Hanqing
Adobe PDF(2793Kb)  |  收藏  |  浏览/下载:638/261  |  提交时间:2017/02/14
Convolutional Neural Network  Multi-view 3d Object Retrieval  Triplet Loss