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Xu Luo

DETA: Denoised Task Adaptation for Few-Shot Learning

Mar 11, 2023
Ji Zhang, Lianli Gao, Xu Luo, Hengtao Shen, Jingkuan Song

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* 10 pages, 5 figures

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Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid

Oct 30, 2022
Jing Xu, Xu Luo, Xinglin Pan, Wenjie Pei, Yanan Li, Zenglin Xu

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* Accepted at NeurIPS 2022

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Channel Importance Matters in Few-Shot Image Classification

Jun 20, 2022
Xu Luo, Jing Xu, Zenglin Xu

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* Accepted to ICML 2022; code available at https://github.com/Frankluox/Channel_Importance_FSL

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Exploring Category-correlated Feature for Few-shot Image Classification

Dec 14, 2021
Jing Xu, Xinglin Pan, Xu Luo, Wenjie Pei, Zenglin Xu

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* 10 pages, 9 figures

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Adaptive Multi-layer Contrastive Graph Neural Networks

Sep 29, 2021
Shuhao Shi, Pengfei Xie, Xu Luo, Kai Qiao, Linyuan Wang, Jian Chen, Bin Yan

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* 16 pages,7 figures

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Boosting Few-Shot Classification with View-Learnable Contrastive Learning

Jul 30, 2021
Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu

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* 8 pages, 4 figures

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Boosting few-shot classification with view-learnable contrastive learning

Jul 20, 2021
Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu

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* 8 pages, 4 figures

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Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition

Jul 16, 2021
Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian

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* 23 pages, 17 figures

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