中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共36条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 329-341
作者:  Feng, Cheng;  Chen, Zhen;  Zhang, Congxuan;  Hu, Weiming;  Li, Bing;  Lu, Feng
收藏  |  浏览/下载：43/0  |  提交时间：2024/03/26
Estimation  Iterative methods  Cameras  Task analysis  Feature extraction  Decoding  Training  Monocular depth estimation  iterative refinement  self-supervised learning  deep learning  
Multiscale Dynamic Graph Representation for Biometric Recognition With Occlusions 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15120-15136
作者:  Ren, Min;  Wang, Yunlong;  Zhu, Yuhao;  Zhang, Kunbo;  Sun, Zhenan
收藏  |  浏览/下载：29/0  |  提交时间：2024/03/26
Biometrics  deep learning  face recognition  graph neural networks  iris recognition  
Robust Multitask Learning With Sample Gradient Similarity 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10
作者:  Peng, Xinyu;  Chang, Cheng;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：94/0  |  提交时间：2023/12/21
Deep learning  Automation  multitask learning  sample gradient  sample reweighting  task reweighting  
A learnable EEG channel selection method for MI-BCI using efficient channel attention 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:  Tong, Lina;  Qian, Yihui;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：79/8  |  提交时间：2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism  
IDO: Instance dual-optimization for weakly supervised object detection 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 18
作者:  Ren, Zhida;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(3668Kb)  |  收藏  |  浏览/下载：58/4  |  提交时间：2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning  
Graph convolutional network with tree-guided anisotropic message passing 期刊论文
NEURAL NETWORKS, 2023, 卷号: 165, 页码: 909-924
作者:  Wang, Ruixiang;  Wang, Yuhu;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：42/0  |  提交时间：2023/11/17
Deep learning  Graph convolutional networks  Graph structure learning  Anisotropic message passing  
Zero-Shot Predicate Prediction for Scene Graph Parsing 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 3140-3153
作者:  Li, Yiming;  Yang, Xiaoshan;  Huang, Xuhui;  Ma, Zhe;  Xu, Changsheng
收藏  |  浏览/下载：147/0  |  提交时间：2023/11/17
Deep learning  zero-shot  scene graph  
The Human Continuity Activity Semisupervised Recognizing Model for Multiview IoT Network 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 11, 页码: 9398-9410
作者:  Yuan, Ruiwen;  Wang, Junping
收藏  |  浏览/下载：77/0  |  提交时间：2023/11/17
Feature extraction  Sensors  Human activity recognition  Internet of Things  Data models  Sensor phenomena and characterization  Data mining  Activity feature extraction  deep learning  human activity recognition (HAR)  semisupervised learning  
Semisupervised Progressive Representation Learning for Deep Multiview Clustering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Chen, Rui;  Tang, Yongqiang;  Xie, Yuan;  Feng, Wenlong;  Zhang, Wensheng
收藏  |  浏览/下载：115/0  |  提交时间：2023/11/17
Representation learning  Training  Data models  Task analysis  Complexity theory  Semisupervised learning  Optimization  Deep clustering  multiview clustering  progressive sample learning  semisupervised learning  
MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams 期刊论文
NEURAL NETWORKS, 2023, 卷号: 161, 页码: 525-534
作者:  Peng, Xinyu;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：62/0  |  提交时间：2023/11/17
Deep learning  Imbalanced data streams  Sample gradient  Typical samples  Mixup