中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共15条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo
Adobe PDF(2164Kb)  |  收藏  |  浏览/下载：69/4  |  提交时间：2024/02/22
Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition  
Online Active Continual Learning for Robotic Lifelong Object Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Nie, Xiangli;  Deng, Zhiguang;  He, Mingdong;  Fan, Mingyu;  Tang, Zheng
收藏  |  浏览/下载：99/0  |  提交时间：2023/11/16
Task analysis  Robots  Data models  Object recognition  Learning systems  Training  Heuristic algorithms  Catastrophic forgetting  lifelong object recognition  online active learning (OAL)  online continual learning (OCL)  
Multi-Scale Low-Discriminative Feature Reactivation for Weakly Supervised Object Localization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6050-6065
作者:  Wang, Bo;  Yuan, Chunfeng;  Li, Bing;  Ding, Xinmiao;  Li, Zeya;  Wu, Ying;  Hu, Weiming
收藏  |  浏览/下载：227/0  |  提交时间：2021/08/15
Location awareness  Neurons  Task analysis  Pattern recognition  Automation  Search problems  Proposals  Weakly supervised object localization  feature recalibration  multi-scale class activation mapping  
Efficient Center Voting for Object Detection and 6D Pose Estimation in 3D Point Cloud 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 期号: 1, 页码: 5072-5084
作者:  Guo, Jianwei;  Xing, Xuejun;  Quan, Weize;  Yan, Dong-Ming;  Gu, Qingyi;  Liu, Yang;  Zhang, Xiaopeng
Adobe PDF(8313Kb)  |  收藏  |  浏览/下载：195/0  |  提交时间：2021/08/15
Three-dimensional displays  Pose estimation  Shape  Object detection  Feature extraction  Object recognition  Transmission line matrix methods  6D pose estimation  3D object recognition  point pair features  3D point cloud  
High-speed rail pole number recognition through deep representation and temporal redundancy 期刊论文
NEUROCOMPUTING, 2020, 卷号: 415, 页码: 201-214
作者:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Li, Ding
Adobe PDF(2751Kb)  |  收藏  |  浏览/下载：298/54  |  提交时间：2021/01/07
Region-based convolutional neural network  Context information  Object detection  Number recognition  Pole number  High-speed rail  
A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2018, 卷号: 10, 期号: 2, 页码: 420-431
作者:  Yin, Peijie;  Qiao, Hong;  Wu, Wei;  Qi, Lu;  Li, Yinlin;  Zhong, Shanlin;  Zhang, Bo
浏览  |  Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：338/78  |  提交时间：2018/10/09
Biologically inspired model  object recognition  semantic learning  structural learning  
DeepPlane: a unified deep model for aircraft detection and recognition in remote sensing images 期刊论文
Journal of Applied Remote Sensing, 2017, 期号: 11(4), 页码: 042606
作者:  Hongzhen Wang;  Yongchan Gong;  Ying Wang;  Lingfeng Wang;  Chunhong Pan
浏览  |  Adobe PDF(6551Kb)  |  收藏  |  浏览/下载：322/58  |  提交时间：2018/05/30
Aircraft Recognition  Remote Sensing Images  Convolutional Neural Networks  Object Detection  
A Novel Biologically-inspired Visual Cognition Model - Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2017, 卷号: PP, 期号: 99, 页码: 1-1
作者:  P. Yin;  H. Qiao;  W. Wu;  L. Qi;  Y. L. Li;  S. Zhong;  B. Zhang
收藏  |  浏览/下载：157/0  |  提交时间：2018/01/04
Biologically Inspired Model  Object Recognition  Semantic Learning  Structural Learning  
B-HMAX: A fast Binary Biologically Inspired Model for Object Recognition 期刊论文
Neurocomputing, 2016, 期号: 218, 页码: 242-250
作者:  Zhang Huazhen;  Lu Yanfeng;  Kang Taekoo;  Lim Myotaeg
浏览  |  Adobe PDF(2633Kb)  |  收藏  |  浏览/下载：324/109  |  提交时间：2017/09/14
Object Recognition  Classification  Hmax  Binary Descriptor  
Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment 期刊论文
Neurocomputing, 2014, 期号: 193, 页码: 155-166
作者:  Lu Yanfeng(吕彦锋);  Kang Taekoo;  Zhang Huazhen;  Choi Inhwan;  Lim Myotaeg
浏览  |  Adobe PDF(5178Kb)  |  收藏  |  浏览/下载：315/119  |  提交时间：2017/09/14
Object Recognition  Classification  Hmax  Oriented Gaussian-hermite Moment  Gabor Features