A Discriminative Feature Learning Approach for Deep Face Recognition
url: https://kpzhang93.github.io/papers/eccv2016.pdf year: ECCV2016 abstract 對於人臉識別任務來說, 網絡學習到的特徵具有判別性是一件很重要的事情. 增加類間距離, 減小類內距離在人臉識別任務中很重要. 那麼, 該如何增加類間距離, 減小類內距離呢? 通常, 我們使用 softmax loss 作爲分類任務的loss, 但
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相關文章
- 1. A Discriminative Feature Learning Approach for Deep Face Recognition
- 2. 【人臉識別】A Discriminative Feature Learning Approach for Deep Face Recognition
- 3. A Discriminative Feature Learning Approach for Deep Face Recognition 論文筆記
- 4. 閱讀A Discriminative Feature Learning Approach for Deep Face Recognition
- 5. 論文筆記 | A Discriminative Feature Learning Approach for Deep Face Recognition
- 6. 文獻閱讀 - A Discriminative Feature Learning Approach for Deep Face Recognition
- 7. 《A Discriminative Feature Learning Approach for Deep Face Recognition》論文筆記
- 8. Center Loss: A Discriminative Feature Learning Approach for Deep Face Recognition（論文閱讀筆記）
- 9. centerloss系列文章筆記——人臉識別：A Discriminative Feature Learning Approach forDeep Face Recognition
- 10. 論文閱讀理解 - CenterLoss: A Discriminative Feature Learning Approach