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  1. Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

    Jupyter Notebook 1.4k 548

  2. Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

    C++ 309 118

  3. Implementation for <Deep Hyperspherical Learning> in NIPS'17.

    Python 108 23

  4. Implementation for <Decoupled Networks> in CVPR'18.

    Python 114 30

  5. Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

    Python 75 5

  6. SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

    Jupyter Notebook 148 24

39 contributions in the last year

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Contribution activity

November 2020

Created 1 commit in 1 repository

Opened their first issue on GitHub in mandt-lab/adversarial-negative-sampling

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