云南高校图书馆联盟文献共享服务平台- SEMANTIC

SEMANTIC: 作品数：720被引量：978H指数：12; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：于戈王祥瑞陈明崔立真王海洋更多>>; 相关机构：清华大学华中师范大学上海交通大学北京航空航天大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划国家社会科学基金更多>>

Entropy-Bottleneck-Based Privacy Protection Mechanism for Semantic Communication: 《Computers, Materials & Continua》2025年第5期2971-2988,共18页Kaiyang Han Xiaoqiang Jia Yangfei Lin Tsutomu Yoshinaga Yalong Li Jiale Wu; supported in part by the Innovation and Entrepreneurship Training Program for Chinese College Students(No.202410128019);in part by JST ASPIRE Grant Number JPMJAP2325;in part by Support Center for Advanced Telecommunications Technology Research(SCAT).; With the rapid development of artificial intelligence and the Internet of Things,along with the growing demand for privacy-preserving transmission,the need for efficient and secure communication systems has become inc...; 关键词：Semantic communication privacy protection semantic segmentation entropy-based compression

Ordered Clustering-Based Semantic Music Recommender System Using Deep Learning Selection: 《Computers, Materials & Continua》2025年第5期3025-3057,共33页Weitao Ha Sheng Gang Yahya D.Navaei Abubakar S.Gezawa Yaser A.Nanehkaran; funded by the National Nature Sciences Foundation of China with Grant No.42250410321。; Music recommendation systems are essential due to the vast amount of music available on streaming platforms,which can overwhelm users trying to find new tracks that match their preferences.These systems analyze users...; 关键词：Music recommender system order clustering deep learning

Two-Stage Category-Guided Frequency Modulation for Few-Shot Semantic Segmentation: 《Computers, Materials & Continua》2025年第5期1707-1726,共20页Yiming Tang Yanqiu Chen; Semantic segmentation of novel object categories with limited labeled data remains a challenging problem in computer vision.Few-shot segmentation methods aim to address this problem by recognizing objects from specifi...; 关键词：Few-shot semantic segmentation frequency feature category representation

CG-FCLNet:Category-Guided Feature Collaborative Learning Network for Semantic Segmentation of Remote Sensing Images: 《Computers, Materials & Continua》2025年第5期2751-2771,共21页Min Yao Guangjie Hu Yaozu Zhang; funded by National Natural Science Foundation of China(61603245).; Semantic segmentation of remote sensing images is a critical research area in the field of remote sensing.Despite the success of Convolutional Neural Networks(CNNs),they often fail to capture inter-layer feature relat...; 关键词：Semantic segmentation remote sensing feature context interaction attentionmodule category-guided module

Syntax-Enhanced Entity Relation Extraction with Complex Knowledge: 《Computers, Materials & Continua》2025年第4期861-876,共16页Mingwen Bi Hefei Chen Zhenghong Yang; funded by the National Key Technology R&D Program of China under Grant No.2021YFD2100605;the National Natural Science Foundation of China under Grant No.62433002;the Project of Construction and Support for High-Level Innovative Teams of Beijing Municipal Institutions under Grant No.BPHR20220104;Beijing Scholars Program under Grant No.099.; Entity relation extraction,a fundamental and essential task in natural language processing(NLP),has garnered significant attention over an extended period.,aiming to extract the core of semantic knowledge from unstruc...; 关键词：Entity relation extraction complex knowledge syntax-enhanced semantic interaction pre-trained BERT

Bilateral Dual-Residual Real-Time Semantic Segmentation Network: 《Computers, Materials & Continua》2025年第4期497-515,共19页Shijie Xiang Dong Zhou Dan Tian Zihao Wang; Real-time semantic segmentation tasks place stringent demands on network inference speed,often requiring a reduction in network depth to decrease computational load.However,shallow networks tend to exhibit degradation...; 关键词：REAL-TIME residual structure semantic segmentation feature fusion

CPEWS:Contextual Prototype-Based End-to-End Weakly Supervised Semantic Segmentation: 《Computers, Materials & Continua》2025年第4期595-617,共23页Xiaoyan Shao Jiaqi Han Lingling Li Xuezhuan Zhao Jingjing Yan; funding from the following sources:National Natural Science Foundation of China(U1904119);Research Programs of Henan Science and Technology Department(232102210054);Chongqing Natural Science Foundation(CSTB2023NSCQ-MSX0070);Henan Province Key Research and Development Project(231111212000);Aviation Science Foundation(20230001055002);supported by Henan Center for Outstanding Overseas Scientists(GZS2022011).; The primary challenge in weakly supervised semantic segmentation is effectively leveraging weak annotations while minimizing the performance gap compared to fully supervised methods.End-to-end model designs have gaine...; 关键词：End-to-end weakly supervised semantic segmentation vision transformer contextual prototype class activation map

Evaluating tree branch angle measurements of European beech using terrestrial laser scanning: 《Forest Ecosystems》2025年第2期220-230,共11页Xi Peng Kim Calders Louise Terryn Hans Verbeeck; supported by the Chinese Scholarship Council under Grant 202106910006.; Branch angles are an important plant morphological trait affecting light interception within forest canopies.However,studies on branch angles have been limited due to the time-consuming nature of manual measurements u...; 关键词：Branch angle Measurement methods Quantitative structure models LAPLACIAN Semantic-laplacian Terrestrial laser scanning

Foundation models for topic modeling: a case study: 《Frontiers of Computer Science》2025年第2期129-131,共3页Han ZENG Jia-Ming SUN Chun-Shu LI Zhuying LI Tong WEI; 1 Introduction In Natural Language Processing(NLP),topic modeling is a class of methods used to analyze and explore textual corpora,i.e.,to discover the underlying topic structures from text and assign text pieces to ...; 关键词：WORDS SEMANTIC TEXTUAL

A Latency-Efficient Integration of Channel Attention for ConvNets: 《Computers, Materials & Continua》2025年第3期3965-3981,共17页Woongkyu Park Yeongyu Choi Mahammad Shareef Mekala Gyu Sang Choi Kook-Yeol Yoo Ho-youl Jung; supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education under Grant NRF-2021R1A6A1A03039493.; Designing fast and accurate neural networks is becoming essential in various vision tasks.Recently,the use of attention mechanisms has increased,aimed at enhancing the vision task performance by selectively focusing o...; 关键词：Attention mechanism convolutional neural networks image classification object detection semantic segmentation

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