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检索条件"机构=Knowledge Data Engineering and Information Retrieval Laboratory"
777 条 记 录,以下是161-170 订阅
排序:
Switchable Online knowledge Distillation
arXiv
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arXiv 2022年
作者: Qian, Biao Wang, Yang Yin, Hongzhi Hong, Richang Wang, Meng Key Laboratory of Knowledge Engineering with Big Data Ministry of Education School of Computer Science and Information Engineering Hefei University of Technology China The University of Queensland
Online knowledge Distillation (OKD) improves the involved models by reciprocally exploiting the difference between teacher and student. Several crucial bottlenecks over the gap between them — e.g., Why and when does ... 详细信息
来源: 评论
TREC: transient redundancy elimination-based convolution  22
TREC: transient redundancy elimination-based convolution
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Proceedings of the 36th International Conference on Neural information Processing Systems
作者: Jiawei Guan Feng Zhang Jiesong Liu Hsin-Hsuan Sung Ruofan Wu Xiaoyong Du Xipeng Shen Key Laboratory of Data Engineering and Knowledge Engineering (MOE) and School of Information Renmin University of China Computer Science Department North Carolina State University
The intensive computations in convolutional neural networks (CNNs) pose challenges for resource-constrained devices; eliminating redundant computations from convolution is essential. This paper gives a principled meth...
来源: 评论
Semantic SLAM Based on Compensated Segmentation and Geometric Constraints in Dynamic Environments
Semantic SLAM Based on Compensated Segmentation and Geometri...
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Artificial Intelligence Technology (ACAIT), Asian Conference on
作者: Baofu Fang Shuai Zhou Hao Wang School of Computer Science and Information Engineering Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology) Hefei China
Most of the existing slam algorithms are designed based on the assumption of a static environment, this strong assumption limits the practical application of most slam systems. The main reason is that moving objects w...
来源: 评论
RGB-D SLAM Method Based on Feature Association in Dynamic Environment
RGB-D SLAM Method Based on Feature Association in Dynamic En...
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Artificial Intelligence Technology (ACAIT), Asian Conference on
作者: Baofu Fang Hao Wang School of Computer Science and Information Engineering Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Hefei China
Simultaneous localization and mapping (SLAM) is one of the current research hotspots. However, in visual SLAM for dynamic environments, inaccurate detection of object motion states and incomplete dynamic region cullin...
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Embedding VLAD in Transformer for Video Question Answering
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Jisuanji Xuebao/Chinese Journal of Computers 2023年 第4期46卷 671-689页
作者: Guo, Dan Yao, Shen-Tao Wang, Hui Wang, Meng School of Computer and Information Engineering Hefei University of Technology Hefei230601 China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei230094 China Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology) Ministry of Education Hefei230601 China Intelligent Interconnected Systems Laboratory of Anhui Province(Hefei University of Technology) Hefei230601 China
Video question answering(VideoQA)is a typical cross-modal understanding task. Its challenge lies in how to learn appropriate multimodal representation and cross-modal correlation for answer inference. Most existing ... 详细信息
来源: 评论
RGB-D Visual Odometry Based on Semantic Feature Points in Dynamic Environments  1st
RGB-D Visual Odometry Based on Semantic Feature Points in ...
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1st CAAI International Conference on Artificial Intelligence, CICAI 2021
作者: Wang, Hao Wang, Yincan Fang, Baofu Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Hefei University of Technology Anhui230009 China School of Computer Science and Information Engineering HeFei University of Technology Anhui Hefei230009 China
Various algorithms of traditional visual Simultaneous Localization and Mapping (SLAM) can well match with static scenes, but mismatches will occur in dynamic scenes, which makes the positioning and mapping of the SLAM... 详细信息
来源: 评论
Scene-Adaptive Person Search via Bilateral Modulations
arXiv
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arXiv 2024年
作者: Jiang, Yimin Wang, Huibing Peng, Jinjia Fu, Xianping Wang, Yang School of Information Science and Technology Dalian Maritime University Dalian China School of Cyber Security and Computer Hebei University Baoding China Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Hefei University of Technology Hefei China
Person search aims to localize specific a target person from a gallery set of images with various scenes. As the scene of moving pedestrian changes, the captured person image inevitably bring in lots of background noi... 详细信息
来源: 评论
An Efficient Customized Blockchain System for Inter-Organizational Processes
An Efficient Customized Blockchain System for Inter-Organiza...
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IEEE International Conference on Web Services (ICWS)
作者: Puwei Wang Zhouxing Sun Rui Li Jinchuan Chen Ping Gong Xiaoyong Du School of Information Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering (Ministry of Education) Renmin University of China School of Mathematics Renmin University of China College of Computer and Cyber Security Fujian Normal University
Blockchain technologies pave a promising way for implementing the inter-organizational processes. Most of the current research works translate the execution logic in the process models into the smart contracts, which ...
来源: 评论
A Zero-shot Learning Method with a Multi-Modal knowledge Graph
A Zero-shot Learning Method with a Multi-Modal Knowledge Gra...
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International Conference on Tools for Artificial Intelligence (ICTAI)
作者: Yuhong Zhang Haitao Shu Chenyang Bu Xuegang Hu Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Hefei China School of Computer Science and Information Engineering Hefei University of Technology Hefei China
Zero-shot learning aims to recognize unseen-classes using some seen-class samples as training set. It is challenging owing to that the feature representations of unseen-class samples are unavailable. Existing methods ... 详细信息
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Learning Group-Disentangled Representation for Interpretable Thoracic Pathologic Prediction
Learning Group-Disentangled Representation for Interpretable...
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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
作者: Li, Hao Wu, Yirui Hu, Hexuan Lu, Hu Lai, Yong Wan, Shaohua Hohai University Key Laboratory of Water Big Data Technology of Ministry of Water Resources China College of Computer and Information Hohai University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China School of Computer Science and Communication Engineering Jiangsu University China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China China
Deep learning methods have shown significant performance in medical image analysis tasks. However, they generally act like 'black box' without explanations in both feature extraction and decision processes, le... 详细信息
来源: 评论