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Jingyang Lin

Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization

Sep 26, 2022
Jingyang Lin, Yu Wang, Qi Cai, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei

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* Source code is available at \url{https://github.com/jylins/hood}

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Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration

Dec 15, 2021
Yu Wang, Jingyang Lin, Jingjing Zou, Yingwei Pan, Ting Yao, Tao Mei

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* NeurIPS 2021; Code is publicly available at: https://github.com/ssl-codelab/uota

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CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning

Dec 14, 2021
Jingyang Lin, Yingwei Pan, Rongfeng Lai, Xuehang Yang, Hongyang Chao, Ting Yao

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* ICME 2021 (Oral); Code is publicly available at: https://github.com/jylins/CORE-Text

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Improving Fast Segmentation With Teacher-student Learning

Oct 19, 2018
Jiafeng Xie, Bing Shuai, Jian-Fang Hu, Jingyang Lin, Wei-Shi Zheng

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* BMVC 2018
* 13 pages, 3 figures, conference

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