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Global-and-Local Collaborative Learning for Co-Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Cong, Runmin;  Yang, Ning;  Li, Chongyi;  Fu, Huazhu;  Zhao, Yao;  Huang, Qingming;  Kwong, Sam
收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07
Semantics  Task analysis  Feature extraction  Convolution  Object detection  Computational modeling  Collaborative work  3-D convolution  co-salient object detection (CoSOD)  global correspondence modeling (GCM)  local correspondence modeling (LCM)  
Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 6, 页码: 3154-3169
作者:  Xu, Qianqian;  Yang, Zhiyong;  Jiang, Yangbangyan;  Cao, Xiaochun;  Yao, Yuan;  Huang, Qingming
收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07
Noise measurement  Annotations  Task analysis  Predictive models  Robustness  Visualization  Training  Subjective visual property (SVP)  robustness  outlier detection  probabilistic model  
I(2)Transformer: Intra- and Inter-Relation Embedding Transformer for TV Show Captioning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3565-3577
作者:  Tu, Yunbin;  Li, Liang;  Su, Li;  Gao, Shengxiang;  Yan, Chenggang;  Zha, Zheng-Jun;  Yu, Zhengtao;  Huang, Qingming
收藏  |  浏览/下载：20/0  |  提交时间：2022/12/07
Transformers  Semantics  Task analysis  Visualization  TV  Electronic mail  Graph neural networks  TV Show captioning  video and subtitle  intra-relation embedding  inter-relation embedding  transformer  
CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6800-6815
作者:  Cong, Runmin;  Lin, Qinwei;  Zhang, Chen;  Li, Chongyi;  Cao, Xiaochun;  Huang, Qingming;  Zhao, Yao
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
Decoding  Task analysis  Periodic structures  Middleware  Logic gates  Electronic mail  Object detection  Salient object detection  RGB-D images  cross-modality attention  cross-modality interaction  
Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6487-6501
作者:  Zhu, Yao;  Chen, Yuefeng;  Li, Xiaodan;  Chen, Kejiang;  He, Yuan;  Tian, Xiang;  Zheng, Bolun;  Chen, Yaowu;  Huang, Qingming
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
Data models  Perturbation methods  Iterative methods  Training  Distributed databases  Predictive models  Neural networks  Adversarial transferability  adversarial attack  black-box attack