[LRFR] 论文笔记 Finding Tiny Faces in the Wild with Generative Adversarial Network
本文主要解决无限制场景下的微小人脸检测问题，tiny face指尺寸小，分辨率低，模糊并缺乏必要信息的人脸patch，tiny face检测问题如下图所示。通过利用GAN模型对tiny face进行高分辨和去模糊的人脸生成，在通过判别器来进行识别。生成网络包含super-resolving和refining两个过程，这两个过程分别解决分辨率低和人脸模糊两个问题，分别通过借鉴SR-GAN和cycle
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相关文章
- 1. Finding Tiny Faces in the Wild with Generative Adversarial Network
- 2. Finding Tiny Faces in the Wild with Generative Adversarial Network 论文学习
- 3. 【论文阅读】Finding Tiny Faces
- 4. 【论文笔记】Unpaired Photo-to-Caricature Translation on Faces in the Wild
- 5. Photo-to-Caricature Translation on Faces in the Wild论文笔记
- 6. Material Recognition in the Wild with the Materials in Context Database论文笔记
- 7. Generative Adversarial Nets论文笔记
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- 9. 论文笔记：Eye In-Painting with Exemplar Generative Adversarial Networks
- 10. 论文笔记之：Generative Adversarial Nets