CASIA OpenIR

浏览/检索结果: 共51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:87/8  |  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  
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:60/4  |  提交时间:2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning  
Online Progressive Instance-Balanced Sampling for Weakly Supervised Vibration Damper Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 14
作者:  Chen, Minghao;  Tian, Yunong;  Li, Zhishuo;  Li, En;  Liang, Zize
Adobe PDF(4445Kb)  |  收藏  |  浏览/下载:103/8  |  提交时间:2023/11/17
Shock absorbers  Vibrations  Object detection  Proposals  Training  Sampling methods  Convolutional neural networks  Instance balance  multiple instance learning (MIL)  progressive sampling  vibration damper detection  weakly supervised object detection (WSOD)  
Multi-level consistency regularization for domain adaptive object detection 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2023, 页码: 18003–18018
作者:  Tian, Kun;  Zhang, Chenghao;  Wang, Ying;  Xiang, Shiming
Adobe PDF(2628Kb)  |  收藏  |  浏览/下载:45/0  |  提交时间:2023/11/17
Consistency regularization  Object detection  Domain adaptation  
Cross-Architecture Knowledge Distillation 会议论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, Macau SAR, China, 2022.12.4-2022.12.8
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Jingting Ding;  Liang Li
Adobe PDF(1020Kb)  |  收藏  |  浏览/下载:152/43  |  提交时间:2023/04/23
Knowledge distillation  Cross architecture  Model compression  Deep learning  
Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 1963-1980
作者:  Luo, Chuanchen;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(2539Kb)  |  收藏  |  浏览/下载:236/68  |  提交时间:2023/03/20
Person re-identification  domain adaptation  cross-domain mixup  camera-aware learning  self-paced learning  
Joint reconstruction of neuron and ultrastructure via connectivity consensus in electron microscope volumes 期刊论文
BMC Bioinformatics, 2022, 卷号: 23, 期号: 1, 页码: 23
作者:  Hong,Bei;  Liu,Jing;  Zhai,Hao;  Liu,Jiazheng;  Shen,Lijun;  Chen,Xi;  Xie,Qiwei;  Han,Hua
Adobe PDF(3091Kb)  |  收藏  |  浏览/下载:347/80  |  提交时间:2022/11/14
Connectomics  Reconstruction  Connectivity concept  Joint optimization  Electron microscope volumes  
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 5121-5133
作者:  Yang, Li;  Xu, Yan;  Wang, Shaoru;  Yuan, Chunfeng;  Zhang, Ziqi;  Li, Bing;  Hu, Weiming
Adobe PDF(3190Kb)  |  收藏  |  浏览/下载:290/38  |  提交时间:2022/09/19
Object detection  prediction decoupling  convolutional neural network  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载:248/33  |  提交时间:2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
Instance segmentation of biological images using graph convolutional network 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2022, 卷号: 110, 页码: 10
作者:  Xu, Rongtao;  Li, Ye;  Wang, Changwei;  Xu, Shibiao;  Meng, Weiliang;  Zhang, Xiaopeng
Adobe PDF(2815Kb)  |  收藏  |  浏览/下载:299/51  |  提交时间:2022/07/25
Instance segmentation  Biological images  GCN  Spatial attention  Graph-guided feature fusion  Instance segmentation  Biological images  GCN  Spatial attention  Graph-guided feature fusion