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# System prepended metadata

title: (AI^2) FAS meeting

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# (AI^2) FAS meeting

## 2024-09-25

- KeyWords
    - Face Anti Spoofing (FAS)
    - Currently main method use 'RGB-based', some with single or few images
    - CoreML (Align Models to Apple Apps)
    - Preprocessing
        - Eye Registration
    - Post-Processing
        - Non-Maximal Supression (NMS)
    - MobileViT
    - TensorFlow Lite

- Paper
    - WACV2023: [DIVT](https://openaccess.thecvf.com/content/WACV2023/html/Liao_Domain_Invariant_Vision_Transformer_Learning_for_Face_Anti-Spoofing_WACV_2023_paper.html)
        - Transformer-based
    - ICIP 2023: [DGUA_FAS](https://arxiv.org/abs/2310.11758v1?utm_source=uwl.me)
        - Cross-domain, New attacks
    - CVPR 2024: [One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning](https://openaccess.thecvf.com/content/CVPR2024/papers/Huang_One-Class_Face_Anti-spoofing_via_Spoof_Cue_Map-Guided_Feature_Learning_CVPR_2024_paper.pdf)

- Goal
    - Port to MTK 8390 SoC
        - https://www.mediatek.com/iot/products/genio-700
        - GPU: Support Tensorflow Lite 
            - https://mediatek.gitlab.io/aiot/doc/aiot-dev-guide/master/hw/mt8390-soc.html
    - 目標 通過 **iBeta** Level 1/2 2. 到達實際商用水準
        - https://www.ibeta.com/
        - https://www.ibeta.com/iso-30107-3-presentation-attack-detection-confirmation-letters/
        - NIST
    - Can combine RGB+IR later