中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共70条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Understanding and Mitigating Dimensional Collapse in Federated Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 5, 页码: 2936-2949
作者:  Shi, Yujun;  Liang, Jian;  Zhang, Wenqing;  Xue, Chuhui;  Tan, Vincent Y. F.;  Bai, Song
收藏  |  浏览/下载：14/0  |  提交时间：2024/07/03
Federated learning  representation learning  distribution shift  dimensional collapse  
Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeof 会议论文
, changsha，China, 2023.11.13
作者:  Wang FY(王方圆);  Ming Hao;  Yuhai Shi;  Bo Xu
Adobe PDF(1933Kb)  |  收藏  |  浏览/下载：64/23  |  提交时间：2024/06/12
The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1313-1316
作者:  Tianyu Shen;  Jinlin Sun;  Shihan Kong;  Yutong Wang;  Juanjuan Li;  Xuan Li;  Fei-Yue Wang
Adobe PDF(682Kb)  |  收藏  |  浏览/下载：73/29  |  提交时间：2024/05/22
Artificial intelligence  Chatbots  Autonomous systems  Intelligent systems  Robots  Digital humans  Robot kinematics  Learning (artificial intelligence)  Biological system modeling  Computational modeling  Human-robot interaction  Complex systems  Deep learning  Reinforcement learning  Large language models  
基于多模型融合的肺部CT新冠肺炎病灶区域自动分割 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 2, 页码: 317-328
作者:  史天意;  程枫;  李震;  郑传胜;  许永超;  白翔
Adobe PDF(10146Kb)  |  收藏  |  浏览/下载：69/25  |  提交时间：2024/05/09
新冠肺炎  计算机断层扫描影像分割  深度学习  泛化性能  
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411
作者:  Yang Wu;  Ding-Heng Wang;  Xiao-Tong Lu;  Fan Yang;  Man Yao;  Wei-Sheng Dong;  Jian-Bo Shi;  Guo-Qi Li
Adobe PDF(6780Kb)  |  收藏  |  浏览/下载：59/11  |  提交时间：2024/04/23
Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
A Vectorized Representation Model for Trajectory Prediction of Intelligent Vehicles in Challenging Scenarios 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4301-4306
作者:  Guo, Lulu;  Shan, Ce;  Shi, Tengfei;  Li, Xuan;  Wang, Fei-Yue
收藏  |  浏览/下载：75/0  |  提交时间：2024/02/22
Index Terms-Autonomous vehicles  graph neural network  HD maps  OpenSCENARIO  scenarios engineering  trajectory prediction  
Comparative Study of Indocyanine Green Fluorescence Imaging in Lung Cancer with Near-Infrared-I/II Windows 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2023, 页码: 10
作者:  Mi, Jiahui;  Li, Changjian;  Yang, Feng;  Shi, Xiaojing;  Zhang, Zeyu;  Guo, Lishuang;  Jiang, Guanchao;  Li, Yun;  Wang, Jun;  Yang, Fan;  Hu, Zhenhua;  Zhou, Jian
收藏  |  浏览/下载：117/0  |  提交时间：2024/02/22
Indocyanine green  Near-infrared-II windows  Fluorescence imaging  Lung cancer surgery  Clinical application  
ASO Author Reflections: Application of Near-Infrared-II Fluorescence Imaging in Thoracic Surgery 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2023, 页码: 2
作者:  Mi, Jiahui;  Li, Changjian;  Yang, Feng;  Shi, Xiaojing;  Zhang, Zeyu;  Guo, Lishuang;  Jiang, Guanchao;  Li, Yun;  Wang, Jun;  Yang, Fan;  Hu, Zhenhua;  Zhou, Jian
收藏  |  浏览/下载：107/0  |  提交时间：2024/02/22
CID-SIMS: Complex indoor dataset with semantic information and multi-sensor data from a ground wheeled robot viewpoint 期刊论文
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2023, 页码: 19
作者:  Zhang, Yidi;  An, Ning;  Shi, Chenhui;  Wang, Shuo;  Wei, Hao;  Zhang, Pengju;  Meng, Xinrui;  Sun, Zengpeng;  Wang, Jinke;  Liang, Wenliang;  Tang, Fulin;  Wu, Yihong
收藏  |  浏览/下载：136/0  |  提交时间：2024/02/22
Dataset  ground wheeled robots  semantic segmentation  multi-sensor data  simultaneous localization and mapping  3D reconstruction  
SMNet: Synchronous Multi-Scale Low Light Enhancement Network With Local and Global Concern 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 9506-9517
作者:  Lin, Shideng;  Tang, Fan;  Dong, Weiming;  Pan, Xingjia;  Xu, Changsheng
收藏  |  浏览/下载：60/0  |  提交时间：2024/02/21
Low-light image enhancement  multi-scale feature learning  deep-learning