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检索条件"机构=MOE Key Laboratory of Embedded System and Service Computing"
546 条 记 录,以下是111-120 订阅
排序:
LIMOT: A Tightly-Coupled system for LiDAR-Inertial Odometry and Multi-Object Tracking
arXiv
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arXiv 2023年
作者: Zhu, Zhongyang Zhao, Junqiao Huang, Kai Tian, Xuebo Lin, Jiaye Ye, Chen Department of Computer Science and Technology School of Electronics and Information Engineering Tongji University Shanghai China The MOE Key Lab of Embedded System and Service Computing Tongji University Shanghai China Institute of Intelligent Vehicles Tongji University Shanghai China The School of Surveying and Geo-Informatics Tongji University Shanghai China
Simultaneous localization and mapping (SLAM) is critical to the implementation of autonomous driving. Most LiDAR-inertial SLAM algorithms assume a static environment, leading to unreliable localization in dynamic envi... 详细信息
来源: 评论
Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place Recognition
arXiv
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arXiv 2023年
作者: Zhao, Junqiao Zhang, Fenglin Cai, Yingfeng Tian, Gengxuan Mu, Wenjie Ye, Chen Feng, Tiantian Department of Computer Science and Technology School of Electronics and Information Engineering Tongji University Shanghai China The MOE Key Lab of Embedded System and Service Computing Tongji University Shanghai China Institute of Intelligent Vehicles Tongji University Shanghai China School of Surveying and Geo-Informatics Tongji University Shanghai China
Visual Place Recognition (VPR) aims to retrieve frames from a geotagged database that are located at the same place as the query frame. To improve the robustness of VPR in perceptually aliasing scenarios, sequence-bas... 详细信息
来源: 评论
Memory-Based Contrastive Learning with Optimized Sampling for Incremental Few-Shot Semantic Segmentation
Memory-Based Contrastive Learning with Optimized Sampling fo...
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IEEE International Symposium on Circuits and systems (ISCAS)
作者: Yuxuan Zhang Miaojing Shi Taiyi Su Hanli Wang Department of Computer Science & Technology Tongji University Shanghai P. R. China Key Laboratory of Embedded System & Service Computing Ministry of Education Tongji University Shanghai P. R. China Department of Control Science & Engineering Tongji University Shanghai P. R. China
Incremental few-shot semantic segmentation (IFSS) aims to incrementally expand a semantic segmentation model’s ability to identify new classes based on few samples. However, it grapples with the dual challenges of ca... 详细信息
来源: 评论
LAMPT: LAbel Mask-Predicted Transformer for Extreme Multi-label Text Classification
LAMPT: LAbel Mask-Predicted Transformer for Extreme Multi-la...
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IEEE International Conference on Big Data
作者: Yifan Xu Minghao Zhu Junli Wang Chungang Yan Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education. National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security Tongji University Shanghai China
Extreme Multi-label text Classification ( XMC) is a task of recalling the most relevant labels for each given text from an extremely large-scale label set. It is emphasized that XMC is a more complex classification ta... 详细信息
来源: 评论
Cross-Modal Representation Reconstruction for Zero-Shot Classification
Cross-Modal Representation Reconstruction for Zero-Shot Clas...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Yu Wang Shenjie Zhao Key Laboratory of Embedded System and Service Computing Ministry of Education P. R. China Mojie Technology (Ningbo)
Zero-shot learning (ZSL) aims to recognize novel classes without training samples through transferring knowledge from seen classes, based on the assumption that both the seen and unseen classes share a latent semantic... 详细信息
来源: 评论
Cross-Domain Semantic Segmentation of Urban Scenes via Multi-Level Feature Alignment
Cross-Domain Semantic Segmentation of Urban Scenes via Multi...
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International Conference on Pattern Recognition
作者: Bin Zhang Shengjie Zhao Rongqing Zhang Key Laboratory of Embedded System and Service Computing Ministry of Education China School of Software Engineering Tongji University Shanghai China
Semantic segmentation is an essential task in plenty of real-life applications such as virtual reality, video analysis, autonomous driving, etc. Recent advancements in fundamental vision-based tasks ranging from image... 详细信息
来源: 评论
Design and Implementation of DSP Cache  21
Design and Implementation of DSP Cache
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21st IEEE International Conference on Communication Technology, ICCT 2021
作者: Liang, Kunkun Wu, Jun Ren, Haoqi Zhang, Zhifeng Tan, Bin Tongji University Electronics and Information Engineering College Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai201804 China School of Computer Science Fudan University Shanghai200438 China College of Electronics and Information Engineering Jinggangshan University Ji'an343009 China
The cache can improve the DSP processor's access speed to external memory and solve the 'Storage Wall' problem. Designing an efficient and flexible cache module plays an vital role in improving the memory ... 详细信息
来源: 评论
HeavyTracker: An Efficient Algorithm for Heavy-Hitter Detection in High-Speed Networks
HeavyTracker: An Efficient Algorithm for Heavy-Hitter Detect...
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International Conference on Parallel and Distributed systems (ICPADS)
作者: Jiakun Yu Yu-E Sun He Huang Yang Du Guoju Gao Hongli Xu Shigang Chen School of Computer Science and Technology Soochow University Suzhou China School of Rail Transportation Soochow University Suzhou China Ministry of Education Key Laboratory of Embedded System and Service Computing (Tongji University) Shanghai China School of Computer Science and Technology University of Science and Technology of China Hefei China
Detecting heavy hitters that constitute the majority of network traffic is a critical task in network measurement. However, the highly skewed network traffic and the size-limited on-chip memory pose great challenges f... 详细信息
来源: 评论
Towards Energy-Efficiency: Integrating MATD3 Reinforcement Learning Method for Computational Offloading in RIS-Aided UAV-MEC Environments
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IEEE Internet of Things Journal 2025年
作者: Wu, Liangshun Zhang, Cong Zhang, Bin Du, Jianbo Qu, Junsuo Key Laboratory of Embedded System and Service Computing Tongji University Ministry of Education Shanghai201804 China Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai201210 China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China Xi'an Key Laboratory of Advanced Control and Intelligent Process School of Automation Xi'an University of Posts & Telecommunications Xi'an710061 China Xinjiang University of Political Science and Law Tumushuke832003 China School of Remote Sensing and Information Engineering Wuhan University Wuhan430079 China Department of Computer City University of Hong Kong 999077 Hong Kong School of Communications and Information Engineering Xi'an University of Posts & Telecommunications Xi'an710061 China
With the proliferation of IoT devices, there is an escalating demand for enhanced computing and communication capabilities. Mobile Edge computing (MEC) addresses this need by relocating computing resources to the netw... 详细信息
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Synchronization and control for multi-weighted and directed complex networks
arXiv
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arXiv 2021年
作者: Liu, Xiwei Department of Computer Science and Technology Tongji University China The Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai201804 China
The study of complex networks with multi-weights has been a hot topic recently. For a network with a single weight, previous studies have shown that they can promote synchronization. But for complex networks with mult... 详细信息
来源: 评论