A Discriminative Feature Learning Approach for Deep Face Recognition
url: https://kpzhang93.github.io/papers/eccv2016.pdf year: ECCV2016 abstract 对于人脸识别任务来说, 网络学习到的特征具有判别性是一件很重要的事情. 增加类间距离, 减小类内距离在人脸识别任务中很重要. 那么, 该如何增加类间距离, 减小类内距离呢? 通常, 我们使用 softmax loss 作为分类任务的loss, 但
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相关文章
- 1. A Discriminative Feature Learning Approach for Deep Face Recognition
- 2. 【人脸识别】A Discriminative Feature Learning Approach for Deep Face Recognition
- 3. A Discriminative Feature Learning Approach for Deep Face Recognition 论文笔记
- 4. 阅读A Discriminative Feature Learning Approach for Deep Face Recognition
- 5. 论文笔记 | A Discriminative Feature Learning Approach for Deep Face Recognition
- 6. 文献阅读 - A Discriminative Feature Learning Approach for Deep Face Recognition
- 7. 《A Discriminative Feature Learning Approach for Deep Face Recognition》论文笔记
- 8. Center Loss: A Discriminative Feature Learning Approach for Deep Face Recognition（论文阅读笔记）
- 9. centerloss系列文章笔记——人脸识别：A Discriminative Feature Learning Approach forDeep Face Recognition
- 10. 论文阅读理解 - CenterLoss: A Discriminative Feature Learning Approach