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CONTRASTIVE: 作品数：198被引量：67H指数：3; 导出分析报告; 相关作者：常迪高志香赵海燕顾晓乐褚艳更多>>; 相关机构：西安外国语大学浙江师范大学北京师范大学浙江大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家留学基金福建省自然科学基金辽宁省高等教育学会“十二五”高校外语教学改革专项课题更多>>

A Category-Agnostic Hybrid Contrastive Learning Method for Few-Shot Point Cloud Object Detection: 《Computers, Materials & Continua》2025年第5期1667-1681,共15页Xuejing Li; Few-shot point cloud 3D object detection(FS3D)aims to identify and locate objects of novel classes within point clouds using knowledge acquired from annotated base classes and a minimal number of samples from the nove...; 关键词：Contrastive learning few-shot learning point cloud object detection

Robust Detection for Fisheye Camera Based on Contrastive Learning: 《Computers, Materials & Continua》2025年第5期2643-2658,共16页Junzhe Zhang Lei Tang Xin Zhou; Fisheye cameras offer a significantly larger field of view compared to conventional cameras,making them valuable tools in the field of computer vision.However,their unique optical characteristics often lead to image d...; 关键词：FISHEYE contrastive learning Yolov8 ATTENTION

FHGraph:A Novel Framework for Fake News Detection Using Graph Contrastive Learning and LLM: 《Computers, Materials & Continua》2025年第4期309-333,共25页Yuanqing Li Mengyao Dai Sanfeng Zhang; supported by the National Key R&D Program of China(Grant No.2022YFB3104601);the Big Data Computing Center of Southeast University.; Social media has significantly accelerated the rapid dissemination of information,but it also boosts propagation of fake news,posing serious challenges to public awareness and social stability.In real-world contexts,t...; 关键词：Graph contrastive learning fake news detection data augmentation class imbalance LLM

Robust federated contrastive recommender system against targeted model poisoning attack: 《Science China(Information Sciences)》2025年第4期46-61,共16页Wei YUAN Chaoqun YANG Liang QU Guanhua YE Quoc Viet Hung NGUYEN Hongzhi YIN; supported by Australian Research Council under the Streams of Future Fellowship(Grant No.FT210100624);Discovery Project(Grant No.DP240101108);Linkage Project(Grant No.LP230200892)。; Federated recommender systems(FedRecs)have garnered increasing attention recently,thanks to their privacypreserving benefits.However,the decentralized and open characteristics of current FedRecs present at least two d...; 关键词：federated recommender system contrastive learning model poisoning attack and defense

Fusion of Time-Frequency Features in Contrastive Learning for Shipboard Wind Speed Correction: 《Journal of Ocean University of China》2025年第2期377-386,共10页SONG Jian HUANG Meng LI Xiang ZHANG Zhenqiang WANG Chunxiao ZHAO Zhigang; supported by the Major Innovation Project for the Integration of Science,Education,and Industry of Qilu University of Technology(Shandong Academy of Sciences)(Nos.2023HYZX01,2023JBZ02);the Open Project of Key Laboratory of Computing Power Network and Information Security,Ministry of Education,Qilu University of Technology(Shandong Academy of Sciences)(No.2023ZD007);the Talent Research Projects of Qilu University of Technology(Shandong Academy of Sciences)(No.2023RCKY136);the Technology and Innovation Major Project of the Ministry of Science and Technology of China(No.2022ZD0118600);the Jinan‘20 New Colleges and Universities’Funded Project(No.202333043)。; Accurate wind speed measurements on maritime vessels are crucial for weather forecasting,sea state prediction,and safe navigation.However,vessel motion and challenging environmental conditions often affect measurement...; 关键词：time series prediction wind speed correction comparative learning shipborne sensor

DPN:Dynamics Priori Networks for Radiology Report Generation: 《Tsinghua Science and Technology》2025年第2期600-609,共10页Bokai Yang Hongyang Lei Huazhen Huang Xinxin Han Yunpeng Cai; supported by the Strategic Priority Research Program of Chinese Academy of Sciences(No.XDB38050100);the Shenzhen Science and Technology Program(No.SGDX20201103095603009);the Shenzhen Polytechnic Research Fund(No.6023310009K).; Radiology report generation is of significant importance.Unlike standard image captioning tasks,radiology report generation faces more pronounced visual and textual biases due to constrained data availability,making i...; 关键词：radiology report generation dynamic knowledge graph prior knowledge contrastive learning

Latent Landmark Graph for Efficient Explorationexploitation Balance in Hierarchical Reinforcement Learning: 《Machine Intelligence Research》2025年第2期267-288,共22页Qingyang Zhang Hongming Zhang Dengpeng Xing Bo Xu; supported by National Key R&D Program of China(No.2022ZD0116405);the Strategic Priority Research Program of the Chinese Academy of Sciences,China(No.XDA27030300).; Goal-conditioned hierarchical reinforcement learning(GCHRL)decomposes the desired goal into subgoals and conducts exploration and exploitation in the subgoal space.Its effectiveness heavily relies on subgoal represent...; 关键词：Hierarchical reinforcement learning representation learning latent landmark graph contrastive learning exploration and exploitation.

Federated Learning and Optimization for Few-Shot Image Classification: 《Computers, Materials & Continua》2025年第3期4649-4667,共19页Yi Zuo Zhenping Chen Jing Feng Yunhao Fan; supported by Suzhou Science and Technology Plan(Basic Research)Project under Grant SJC2023002;Postgraduate Research&Practice Innovation Program of Jiangsu Province under Grant KYCX23_3322.; Image classification is crucial for various applications,including digital construction,smart manu-facturing,and medical imaging.Focusing on the inadequate model generalization and data privacy concerns in few-shot im...; 关键词：Federated learning contrastive learning few-shot differential privacy data augmentation

Graph Similarity Learning Based on Learnable Augmentation and Multi-Level Contrastive Learning: 《Computers, Materials & Continua》2025年第3期5135-5151,共17页Jian Feng Yifan Guo Cailing Du; Graph similarity learning aims to calculate the similarity between pairs of graphs.Existing unsupervised graph similarity learning methods based on contrastive learning encounter challenges related to random graph aug...; 关键词：Graph similarity learning contrastive learning attributes STRUCTURE

Pseudo Label Purification with Dual Contrastive Learning for Unsupervised Vehicle Re-Identification: 《Computers, Materials & Continua》2025年第3期3921-3941,共21页Jiyang Xu Qi Wang Xin Xiong Weidong Min Jiang Luo Di Gai Qing Han; supported by the National Natural Science Foundation of China under Grant Nos.62461037,62076117 and 62166026;the Jiangxi Provincial Natural Science Foundation under Grant Nos.20224BAB212011,20232BAB202051,20232BAB212008 and 20242BAB25078;the Jiangxi Provincial Key Laboratory of Virtual Reality under Grant No.2024SSY03151.; The unsupervised vehicle re-identification task aims at identifying specific vehicles in surveillance videos without utilizing annotation information.Due to the higher similarity in appearance between vehicles compare...; 关键词：Unsupervised vehicle re-identification dual contrastive learning pseudo label refinement knowledge distillation

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