SEMANTIC

作品数:704被引量:970H指数:12
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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>>
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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>>
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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 
Graph-Segmenter:graph transformer with boundary-aware attention for semantic segmentation
《Frontiers of Computer Science》2024年第5期97-108,共12页Zizhang WU Yuanzhu GAN Tianhao XU Fan WANG 
Thetransformer-based semantic segmentation approaches,which divide the image into different regions by sliding windows and model the relation inside each window,have achieved outstanding success.However,since the rela...
关键词:graph transformer graph relation network boundary-aware ATTENTION semantic segmentation 
Semantic similarity-based program retrieval:a multi-relational graph perspective被引量:1
《Frontiers of Computer Science》2024年第3期227-229,共3页Qianwen GOU Yunwei DONG YuJiao WU Qiao KE 
supported by the National Natural Science Foundation of China(Grant Nos.62192733 and 62192730).
1 Introduction Program retrieval aims to enable the flexible retrieval of program snippets based on a natural language query,significantly accelerating software development productivity.Study shows that over 60%of dev...
关键词:SEMANTIC SIMILARITY RETRIEVAL 
Group-wise co-salient object detection via multi-view self-labeling novel class discovery
《Frontiers of Computer Science》2024年第2期259-261,共3页Yang WU Gang DONG Lingyan LIANG Yaqian ZHAO Kaihua ZHANG 
supported in part by the National Natural Science Foundation of China (Grant No.62276141).
1 Introduction Co-salient object detection(CoSOD)aims to extract the salient object(s)that are common across a group of relevant images[1].Group-wise clue plays a crucial role in accurately predicting the co-salient r...
关键词:CONSISTENCY Group SEMANTIC 
Intellectual property protection for deep semantic segmentation models被引量:3
《Frontiers of Computer Science》2023年第1期113-121,共9页Hongjia RUAN Huihui SONG Bo LIU Yong CHENG Qingshan LIU 
supported in part by the National Natural Science Foundation of China(Grant Nos.61872189,41975183,61825601);in part by the Natural Science Foundation of Jiangsu Province(BK20191397).
Deep neural networks have achieved great success in varieties of artificial intelligent fields. Since training a good deep model is often challenging and costly, such deep models are of great value and even the key co...
关键词:deep neural networks intellectual property protection trigger-set passport layer 
Referring image segmentation with attention guided cross modal fusion for semantic oriented languages被引量:1
《Frontiers of Computer Science》2022年第6期187-189,共3页Qianli ZHOU Rong WANG Haimiao HU Quange TAN Wenjin ZHANG 
supported in part by National Natural Science Foundation of China (Grant No.62076246).
1 Introduction Referring image segmentation aims to identify and segment the instance by language description.It is a challenge task due to the combination of both language and visual domains[1].The current mainstream...
关键词:SEMANTIC image MODAL 
Distant supervised relation extraction based on residual attention被引量:2
《Frontiers of Computer Science》2022年第6期167-169,共3页Zhiyun ZHENG Yun LIU Dun LI Xingjin ZHANG 
1 Introduction Relation extraction refers to extracting the semantic relation between entities from unstructured text data to form triple data(entity e_(1),entity e_(2),relation r)that is easy to for computer processi...
关键词:RELATION SEMANTIC BASE 
Multi-granularity semantic alignment distillation learning for remote sensing image semantic segmentation被引量:1
《Frontiers of Computer Science》2022年第4期243-245,共3页Di Zhang Yong Zhou Jiaqi Zhao Zhongyuan Yang Hui Dong Rui Yao Huifang Ma 
supported by the Special Funds for Innovation of Graduate Students Double Top University Plan in China University of Mining and Technology(No.2018ZZCX14)。
1Introduction Due to the powerful feature extraction ability of convolutional neural network[1],deep model-based semantic segmentation of remote sensing images have received more and more atention.,The large-scale dee...
关键词:networks NEURAL SEMANTIC 
Toward few-shot domain adaptation with perturbation-invariant representation and transferable prototypes
《Frontiers of Computer Science》2022年第3期83-93,共11页Junsong FAN Yuxi WANG He GUAN Chunfeng SONG Zhaoxiang ZHANG 
This work was supported in part by the National Key R&D Program of China(2019QY1604);the Major Project for New Generation of AI(2018AAA0100400);the National Youth Talent Support Program,and the National Natural Science Foundation of China(Grant Nos.U21B2042,62006231,and 62072457).
Domain adaptation(DA)for semantic segmentation aims to reduce the annotation burden for the dense pixellevel prediction task.It focuses on tackling the domain gap problem and manages to transfer knowledge learned from...
关键词:domain adaptation semantic segmentation 
Semantic and secure search over encrypted outsourcing cloud based on BERT被引量:1
《Frontiers of Computer Science》2022年第2期152-159,共8页Zhangjie FU Yan WANG Xingming SUN Xiaosong ZHANG 
This work was supported by the National Natural Science Foundation of China(Grant Nos.U1836110 and U1836208);by the Jiangsu Basic Research Programs-Natural Science Foundation under grant numbers BK20200039.
Searchable encryption provides an effective way for data security and privacy in cloud storage.Users can retrieve encrypted data in the cloud under the premise of protecting their own data security and privacy.However...
关键词:cloud computing semantic search BERT model searchable encryption 
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