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Chaoqin Huang

Few-Shot Anomaly Detection via Category-Agnostic Registration Learning

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Jun 13, 2024
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Q-value Regularized Transformer for Offline Reinforcement Learning

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May 27, 2024
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Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning

Apr 07, 2024
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Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images

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Mar 19, 2024
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Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection

Aug 09, 2023
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Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection

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Aug 03, 2023
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Registration based Few-Shot Anomaly Detection

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Jul 15, 2022
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Self-Supervised Masking for Unsupervised Anomaly Detection and Localization

May 13, 2022
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Self-supervised Tumor Segmentation through Layer Decomposition

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Sep 07, 2021
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ESAD: End-to-end Deep Semi-supervised Anomaly Detection

Dec 09, 2020
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