Zixian Su — accepted AI-conference papers

2024

Unraveling Batch Normalization for Realistic Test-Time Adaptation

Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang

AAAI 2024technical

While recent test-time adaptations exhibit efficacy by adjusting batch normalization to narrow domain disparities, their effectiveness diminishes with realistic mini-batches due to inaccurate target estimation. As previous attempts merely introduce source statistics to mitigate this issue, the funda…

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2023

Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation

Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, Jie Sun

AAAI 2023technical

Single-source domain generalization (SDG) in medical image segmentation is a challenging yet essential task as domain shifts are quite common among clinical image datasets. Previous attempts most conduct global-only/random augmentation. Their augmented samples are usually insufficient in diversity…

Cited by 82 Source ↗PDF ↗code ↗Scholar ↗