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检索条件"机构=Laboratory of Pattern Recognition and Intelligent System"
215 条 记 录,以下是21-30 订阅
排序:
KNOWLEDGE TRANSFER BASED FINE-GRAINED VISUAL CLASSIFICATION
KNOWLEDGE TRANSFER BASED FINE-GRAINED VISUAL CLASSIFICATION
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2021 IEEE International Conference on Multimedia and Expo, ICME 2021
作者: Zhang, Siqing Du, Ruoyi Chang, Dongliang Ma, Zhanyu Guo, Jun The Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China
Fine-grained visual classification (FGVC) aims to distinguish the sub-classes of the same category and its essential solution is to mine the subtle and discriminative regions. Convolution neural networks (CNNs), which... 详细信息
来源: 评论
Natural image matting based on image inpainting  2
Natural image matting based on image inpainting
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2nd International Conference on Computer Graphics, Image and Virtualization, ICCGIV 2022
作者: Zhang, Yuan Tan, Mian Zhou, Zhulian Yang, Yuan Liang, Yihui Feng, Fujian Guizhou Minzu University Guizhou Key Laboratory of Pattern Recognition and Intelligent System Guiyang550025 China University of Electronic Science and Technology China School of Computer Science Zhongshan528400 China
Deep image matting is a hot problem with applications in computer vision and image processing. It has been widely used in image composition, film production and video editing etc. The current matting method based on i... 详细信息
来源: 评论
Cross-Domain Person Re-identification Combining Feature Concatenation and Attention
Cross-Domain Person Re-identification Combining Feature Conc...
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作者: Feng Pan Lin Wang Yansha Zhang Jie Wang College of Data Science and Information Engineering Guizhou Minzu University Key Laboratory of Pattern Recognition and Intelligent System of Guizhou Province
To improve the insufficient generalization and poor cross-domain capability of the existing direct cross-dataset person re-identification methods,a cross-domain person re-identification method combining feature concat...
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A Garbage Classification Method Based on Improved YOLOv5
A Garbage Classification Method Based on Improved YOLOv5
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2022 International Conference on Networks, Communications and Information Technology, CNCIT 2022
作者: Yan, Xiaobo Yang, Yuan Feng, Le Wang, Lin Tan, Mian Guizhou Minzu Unversity Key Laboratory of Pattern Recognition and Intelligent System of Guizhou Province. Guiyang China College of Date Science and Information Engineering. Guizhou Minzu Unversity Guiyang China
With the development of national economy, people's daily garbage is increasing day by day. Relying on manpower to sort garbage is a heavy workload and low efficiency. In this paper, an automatic garbage classifica... 详细信息
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RBP-Former: Joint Prediction of RNA-protein Binding Sites on Full-length RNA Transcripts for Multiple RBPs
RBP-Former: Joint Prediction of RNA-protein Binding Sites on...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Li, Yichong Liu, Xiaojian Cheng, Fan Pan, Xiaoyong Yang, Yang Shanghai Jiao Tong University Department of Computer Science and Engineering Shanghai200240 China Shanghai Jiao Tong University Institute of Image Processing and Pattern Recognition Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai200240 China
RNA-binding proteins (RBPs) are essential for gene expression, and the complex RNA-protein interaction mechanisms require analysis of global RNA information. Therefore, accurate prediction of RBP binding sites on full... 详细信息
来源: 评论
Adaptive geodesic feedback controller design for the quadrotor
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International Journal of Vehicle Autonomous systems 2020年 第3-4期15卷 319-342页
作者: Liu, Chao Yang, Shengyi Key Laboratory of Pattern Recognition and Intelligent System Guizhou Minzu University Huaxi District Guizhou Province Guiyang China
In this paper, a non-linear adaptive control method based on SO(3) for the quadrotor attitude tracking is proposed. Distinct from other control methods on Euclidean space, the controller proposed is developed on SO(3)... 详细信息
来源: 评论
Unsupervised Attention Regularization Based Domain Adaptation for Oracle Character recognition
arXiv
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arXiv 2024年
作者: Wang, Mei Deng, Weihong Hu, Jiani Su, Sen The Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China
The study of oracle characters plays an important role in Chinese archaeology and philology. However, the difficulty of collecting and annotating real-world scanned oracle characters hinders the development of oracle ... 详细信息
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Detailed Object Description with Controllable Dimensions
arXiv
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arXiv 2024年
作者: Wang, Xinran Zhang, Haiwen Li, Baoteng Liang, Kongming Sun, Hao He, Zhongjiang Ma, Zhanyu Guo, Jun Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China China Telecom Artificial Intelligence Technology Co. Ltd Beijing100034 China
Object description plays an important role for visually impaired individuals to understand and compare the differences between objects. Recent multimodal large language models (MLLMs) exhibit powerful perceptual abili... 详细信息
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Multi-View Active Fine-Grained recognition
arXiv
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arXiv 2022年
作者: Du, Ruoyi Yu, Wenqing Wang, Heqing Chang, Dongliang Lin, Ting-En Li, Yongbin Ma, Zhanyu Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China
As fine-grained visual classification (FGVC) being developed for decades, great works related have exposed a key direction - finding discriminative local regions and revealing subtle differences. However, unlike ident... 详细信息
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Cycle Label-Consistent Networks for Unsupervised Domain Adaptation
arXiv
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arXiv 2022年
作者: Wang, Mei Deng, Weihong The Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China
Domain adaptation aims to leverage a labeled source domain to learn a classifier for the unlabeled target domain with a different distribution. Previous methods mostly match the distribution between two domains by glo... 详细信息
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