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RSSFormer: Foreground Saliency Enhancement for Remote Sensing Land-Cover Segmentatio 期刊论文
IEEE Transactions on Image Processing, 2023, 卷号: 32, 期号: 无, 页码: 1052-1064
作者:  Rongtao Xu;  Changwei Wang;  Jiguang Zhang;  Shibiao Xu;  Weiliang Meng;  Xiaopeng Zhang
Adobe PDF(8262Kb)  |  收藏  |  浏览/下载：20/4  |  提交时间：2024/05/29
遥感图像语义分割  
Adaptive Adversarial Logits Pairing 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 2, 页码: 16
作者:  Wu, Shangxi;  Sang, Jitao;  Xu, Kaiyan;  Zheng, Guanhua;  Xu, Changsheng
收藏  |  浏览/下载：77/0  |  提交时间：2023/12/21
Adversarial defense  adaptive  dropout  
Toward Accurate and Efficient Road Extraction by Leveraging the Characteristics of Road Shapes 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 16
作者:  Wang, Changwei;  Xu, Rongtao;  Xu, Shibiao;  Meng, Weiliang;  Wang, Ruisheng;  Zhang, Jiguang;  Zhang, Xiaopeng
Adobe PDF(13777Kb)  |  收藏  |  浏览/下载：126/8  |  提交时间：2023/11/17
Efficient and accurate road extraction  efficient strip transformer module (ESTM)  geometric deformation estimation module (GDEM)  road edge focal loss (REF loss)  road shape-aware network (RSANet)  
New development of SGII-UP laser facility control system based on tango controls 期刊论文
FUSION ENGINEERING AND DESIGN, 2023, 卷号: 188, 页码: 6
作者:  Zeng, Peiying;  Cheng, Ningbo;  Guo, Wenbin;  Ji, Tong;  Tang, Xiaoyun;  Zou, Wei;  Zhu, Baoqiang;  Zhu, Jianqiang
Adobe PDF(3304Kb)  |  收藏  |  浏览/下载：354/35  |  提交时间：2023/03/20
Tango controls  SGII-UP  Control system  Hierarchical structure  
Hashing Fake: Producing Adversarial Perturbation for Online Privacy Protection Against Automatic Retrieval Models 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Mao, Wenji;  Zeng, Daniel Dajun;  Wang, Fei-Yue
收藏  |  浏览/下载：257/0  |  提交时间：2022/11/14
Perturbation methods  Semantics  Computational modeling  Codes  Task analysis  Privacy  Software  Adversarial perturbation  deep neural network (DNN)  privacy protection  semantic retrieval  
Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Liu, Bin;  Wang, Xiao;  Mao, Wenji;  Zeng, Daniel Dajun;  Wang, Fei-Yue
收藏  |  浏览/下载：212/0  |  提交时间：2022/11/14
Training  Task analysis  Semantics  Perturbation methods  Feature extraction  Computational modeling  Robustness  Adversarial perturbation  adversarially robust training  deep hashing  multimodal retrieval  
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval 期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 3, 页码: 45-53
作者:  Zeng, Zhixiong;  Xu, Nan;  Mao, Wenji;  Zeng, Daniel
Adobe PDF(2545Kb)  |  收藏  |  浏览/下载：307/44  |  提交时间：2022/09/19
Semantics  Representation learning  Task analysis  Matrix decomposition  Automation  Interference  Intelligent systems  Cross-modal Retrieval  Representation Learning  Orthogonal Decomposition  
Knowledge structure driven prototype learning and verification for fact checking 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 238, 页码: 10
作者:  Wang, Shuai;  Mao, Wenji;  Wei, Penghui;  Zeng, Daniel D.
Adobe PDF(965Kb)  |  收藏  |  浏览/下载：452/80  |  提交时间：2022/06/10
Fact checking  Knowledge structure  Hierarchical prototype learning  Relation enhancement  Verification  
Knowledge-driven Egocentric Multimodal Activity Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 21
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyu;  Sang, Jitao;  Xu, Changsheng
Adobe PDF(1875Kb)  |  收藏  |  浏览/下载：401/56  |  提交时间：2021/03/08
Egocentric videos  wearable sensors  graph neural networks  
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 期号: -, 页码: 308-318
作者:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2475Kb)  |  收藏  |  浏览/下载：472/110  |  提交时间：2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes