CSpace

浏览/检索结果: 共8条,第1-8条 帮助

已选(0)清除 条数/页:   排序方式:
Panoptic Segmentation with Convex Object Representation 期刊论文
COMPUTER JOURNAL, 2023, 页码: 11
作者:  Yao, Zhicheng;  Wang, Sa;  Zhu, Jinbin;  Bao, Yungang
收藏  |  浏览/下载:9/0  |  提交时间:2024/05/20
deep learning  computer vision  image segmentation  panoptic segmentation  instance representation  
CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 226, 页码: 11
作者:  Zhu, Xiaofei;  Li, Chenghong;  Guo, Jiafeng;  Dietze, Stefan
收藏  |  浏览/下载:19/0  |  提交时间:2023/12/04
Network representation learning  Deep learning  Graph convolutional networks  Node classification  
Learning Degradation-Invariant Representation for Robust Real-World Person Re-Identification 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2022, 页码: 27
作者:  Huang, Yukun;  Fu, Xueyang;  Li, Liang;  Zha, Zheng-Jun
收藏  |  浏览/下载:31/0  |  提交时间:2022/12/07
Person Re-ID  Representation learning  Vision in bad weather  Deep learning  Low-light image enhancement  
Unsupervised Adversarial Domain Adaptation for Cross-Domain Face Presentation Attack Detection 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 56-69
作者:  Wang, Guoqing;  Han, Hu;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载:275/0  |  提交时间:2020/12/10
Face  Feature extraction  Testing  Adaptation models  Databases  Deep learning  Three-dimensional displays  Face presentation attack detection  face liveness detection  face anti-spoofing  adversarial domain adaptation  metric learning  disentangled representation  
Att-FPA: Boosting Feature Perceive for Object Detection 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 47380-47390
作者:  Liu, Jingwei;  Gu, Yi;  Han, Shumin;  Zhang, Zhibin;  Guo, Jiafeng;  Cheng, Xueqi
收藏  |  浏览/下载:36/0  |  提交时间:2021/12/01
Feature extraction  Location awareness  Task analysis  Object detection  Proposals  Neck  Semantics  Deep learning  computer vision  object detection  attention  feature representation  
Learning deep face representation with long-tail data: An aggregate-and-disperse approach 期刊论文
PATTERN RECOGNITION LETTERS, 2020, 卷号: 133, 页码: 48-54
作者:  Ma, Yuhao;  Kan, Meina;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载:69/0  |  提交时间:2020/12/10
Face recognition  Deep representation learning  Long-tail distribution  Aggregate-and-disperse  
Binary Volumetric Convolutional Neural Networks for 3-D Object Recognition 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 1, 页码: 38-48
作者:  Ma, Chao;  Guo, Yulan;  Lei, Yinjie;  An, Wei
收藏  |  浏览/下载:279/0  |  提交时间:2019/04/03
3-D object recognition  convolutional neural network (CNN)  deep learning (DL)  network binarization  volumetric representation  
Learning deep representations via extreme learning machines 期刊论文
NEUROCOMPUTING, 2015, 卷号: 149, 页码: 308-315
作者:  Yu, Wenchao;  Zhuang, Fuzhen;  He, Qing;  Shi, Zhongzhi
收藏  |  浏览/下载:44/0  |  提交时间:2019/12/13
Extreme learning machine  Deep learning  Representation learning  Stacked ELMs  Stacked generalization  DrELM