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Learning to Adapt Classifier for Imbalanced Semi-supervised Learning


Jul 28, 2022
Renzhen Wang, Xixi Jia, Quanziang Wang, Deyu Meng

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Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship


Jan 06, 2022
Quanziang Wang, Yuexiang Li, Dong Wei, Renzhen Wang, Kai Ma, Yefeng Zheng, Deyu Meng

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Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers


Dec 04, 2021
Renzhen Wang, De cai, Kaiwen Xiao, Xixi Jia, Xiao Han, Deyu Meng

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Unsupervised Local Discrimination for Medical Images


Aug 21, 2021
Huai Chen, Renzhen Wang, Jieyu Li, Qing Peng, Deyu Meng, Lisheng Wang

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* 16 pages, 9 figures 

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Residual Moment Loss for Medical Image Segmentation


Jun 27, 2021
Quanziang Wang, Renzhen Wang, Yuexiang Li, Kai Ma, Yefeng Zheng, Deyu Meng

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Unsupervised Learning of Local Discriminative Representation for Medical Images


Dec 17, 2020
Huai Chen, Jieyu Li, Renzhen Wang, Yijie Huang, Fanrui Meng, Deyu Meng, Qing Peng, Lisheng Wang

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* 13 pages, 4 figures 

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Meta Feature Modulator for Long-tailed Recognition


Aug 08, 2020
Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng

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LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation


Mar 20, 2020
Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng

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* Accepted to Proc. IEEE Conf. Computer Vision and Pattern Recognition 2020 

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