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@CityU-AIM-Group

CityU-AIM-Group

The Artificial Intelligence in Medicine (AIM) Group from CityU EE focuses on developing and applying machine learning methods to enable precision medicine.

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  1. SIGMA SIGMA Public

    [CVPR' 22 ORAL] SIGMA: Semantic-complete Graph Matching for Domain Adaptative Object Detection

    Python 166 18

  2. SFDA-FSM SFDA-FSM Public

    [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining

    Python 48 10

  3. SOMA SOMA Public

    [ICCV' 23 ORAL] Novel Scenes & Classes: Towards Adaptive Open-set Object Detection

    Python 43 5

  4. SCAN SCAN Public

    [AAAI' 22 ORAL] SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation

    Python 34 2

  5. NLTE NLTE Public

    [CVPR' 22] Towards Robust Adaptive Object Detection under Noisy Annotations

    Python 33 3

  6. MultiModal-learning MultiModal-learning Public

    Python 30 4

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