DeepFace: Closing the Gap to Human-Level Performance in Face Verification
这篇文章是Facebook公司发表于CVPR2014的Oral文章, 这段时间非常火，一众科技媒体都在热炒“计算机的人脸识别能力正在赶超人类或者已经赶超了人类”，甚至微博上有人断言，CV研究的最高境界就是“用最牛的机器，实现最深度的算法”。铺垫到此为止，我们进入正题，由我的视角带领大家读一读这篇火的一谈糊涂的文章。 0. 本文的贡献 DeepFace一文依旧是沿着“检测-对齐-人脸表示-
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相关文章
- 1. [人脸识别]DeepFace: Closing the Gap to Human-Level Performance in Face Verification论文综述(2015)
- 2. 【论文整理】DNN-Face-Recognition-Papers DeepFace
- 3. deepface
- 4. DeepFace笔记
- 5. 【DeepFace】人脸识别模型之DeepFace框架
- 6. Learning to Detect Fake Face Images in the Wild
- 7. 【论文整理】Face Related Papers and Code Collection Image-based Template Genearator
- 8. Learning a Similarity Metric Discriminatively, with Application to Face Verification
- 9. Learning a Similarity Metric Discriminatively, with Application to Face Verification.
- 10. PBS: Extract More Information from Datasets to Improve the Performance of Face Detection