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检索条件"机构=Guangxi Key Lab Image & Graph Intelligent Proc"
221 条 记 录,以下是1-10 订阅
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Geometry-sensitive semantic modeling in visual and visual-language domains for image captioning
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2025年 147卷
作者: Zhu, Wencai Jiang, Zetao He, Yuting Guilin Univ Elect Technol Guangxi Key Lab Image & Graph Intelligent Proc Guilin 541004 Peoples R China
Transformer-based models with grid features as visual representations perform well in image captioning. However, the division and flattening operations increase the difficulty of capturing objects and their relationsh... 详细信息
来源: 评论
DMFormer: Dense Memory Linformer for image Captioning
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ELECTRONICS 2025年 第9期14卷 1716-1716页
作者: He, Yuting Jiang, Zetao Guilin Univ Elect Technol Guangxi Key Lab Image & Graph Intelligent Proc Guilin 541004 Peoples R China
image captioning is a cross-task of computer vision and natural language processing, aiming to describe image content in natural language. Existing methods still have deficiencies in modeling the spatial location and ... 详细信息
来源: 评论
Channel-level Matching Knowledge Distillation for object detectors via MSE
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PATTERN RECOGNITION LETTERS 2024年 179卷 52-57页
作者: Jiang, Zetao Huang, Qinyang Zhang, Huijuan Guilin Univ Elect Technol Guangxi Key Lab Image & Graph Intelligent Proc Guilin 541004 Peoples R China
Knowledge distillation (KD) has been widely used in different tasks as a practical model compression technique. Due to the poor performance of directly using Mean Square Error (MSE) between the intermediate features o... 详细信息
来源: 评论
Semantic-alignment transformer and adversary hashing for cross-modal retrieval
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APPLIED INTELLIGENCE 2024年 第17-18期54卷 7581-7602页
作者: Sun, Yajun Wang, Meng Ma, Ying Guangxi Univ Sci & Technol Key Lab Intelligent Informat Proc & Graph Comp Liuzhou 545006 Guangxi Peoples R China
Deep Cross-Modal Hashing (DCMH) has garnered significant attention in the field of cross-modal retrieval due to its advantages such as high computational efficiency and small storage space. However, existing DCMH meth... 详细信息
来源: 评论
Linear self-attention with multi-relational graph for knowledge graph completion
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APPLIED INTELLIGENCE 2025年 第8期55卷 1-15页
作者: Liu, Weida Qiang, Baohua Chen, Ruidong Xie, Yuan Chen, Lirui Chen, Zhiqin Guilin Univ Elect Technol Guangxi Key Lab Image & Graph Intelligent Proc Guilin 541004 Peoples R China
Knowledge graph completion (KGC) aims to infer missing facts based on the existing knowledge. graph Convolutional Networks (GCNs) have gained significant traction due to their proficiency in effectively modeling graph... 详细信息
来源: 评论
FRSE-Net: low-illumination object detection network based on feature representation refinement and semantic-aware enhancement
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VISUAL COMPUTER 2024年 第5期40卷 3233-3247页
作者: Jiang, Zetao Shi, Daoquan Zhang, Shaoqin Guilin Univ Elect Technol Guangxi Key Lab Image & Graph Intelligent Proc Guilin 541004 Peoples R China Nanchang Hangkong Univ Nanchang 330063 Peoples R China
Deep learning-based object detection methods have achieved great performance improvement. However, the current mainstream object detectors focus on normal illumination images, while low-illumination object detection i... 详细信息
来源: 评论
Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts
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KNOWLEDGE-BASED SYSTEMS 2024年 293卷
作者: Wen, YiMin Liu, Xiang Yu, Hang Guilin Univ Elect Technol Guangxi Key Lab Image & Graph Intelligent Proc Guilin 541004 Guangxi Peoples R China Shanghai Univ Sch Comp Engn & Sci Shanghai 200444 Peoples R China
With the development of deep neural networks (DNNs), classifying streaming data with concept drifts based on DNNs is becoming more and more effective. However, the continuous and infinite characteristic of streaming d... 详细信息
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EOFD-NET: EDGE OPTIMIZATION AND FEATURE DENOISING FOR WEAKLY SUPERVISED DEEP NUCLEI SEGMENTATION WITH POINT ANNOTATIONS  49
EOFD-NET: EDGE OPTIMIZATION AND FEATURE DENOISING FOR WEAKLY...
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49th IEEE International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Pan, Xipeng Hou, Feihu Liu, Zhenbing Feng, Siyang Lan, Rushi Guilin Univ Elect Technol Guangxi Key Lab Image & Graph Intelligent Proc Guilin 541004 Peoples R China
Nuclei segmentation is a fundamental and critical step in digital pathological image analysis. Fully supervised nuclei segmentation requires a lot of pixel-by-pixel manual annotation by pathologists, which is very tim... 详细信息
来源: 评论
YOLO-TC: An Optimized Detection Model for Monitoring Safety-Critical Small Objects in Tower Crane Operations
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ALGORITHMS 2025年 第1期18卷 27-27页
作者: Ding, Dong Deng, Zhengrong Yang, Rui Guilin Univ Elect Technol Guangxi Key Lab Images & Graph Intelligent Proc Guilin 541004 Peoples R China
Ensuring operational safety within high-risk environments, such as construction sites, is paramount, especially for tower crane operations where distractions can lead to severe accidents. Despite existing behavioral m... 详细信息
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KinD-LCE: curve estimation and Retinex Fusion on low-light image
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SIGNAL image AND VIDEO procESSING 2024年 第2期18卷 1733-1746页
作者: Lei, Xiaochun Mai, Weiliang Xie, Junlin Liu, He Jiang, Zetao Gong, Zhaoting Lu, Chang Lu, Linjun Guilin Univ Elect Technol Sch Comp Sci & Informat Secur Guilin 541004 Guangxi Peoples R China Guilin Univ Elect Technol Guangxi Key Lab Image & Graph Intelligent Proc Guilin 541004 Guangxi Peoples R China
Low-light images often suffer from noise and color distortion. Object detection, semantic segmentation, instance segmentation, and other tasks are challenging when working with low-light images because of image noise ... 详细信息
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