Face Paper：Face Attention Network: An Effective Face Detector for the Occluded Faces
人脸检测的性能近期由于深度学习的发展大幅度提高, 然而对于人脸的遮挡问题一直是人脸检测中一个比较有挑战的问题, 这种场景多出现于佩戴口罩、太阳镜和其他人的遮挡等。 这篇文章提出了Face Attention Network (FAN), 有效提升了有遮挡人脸的召回。提出了a new anchor-level attention，增强人脸区域的特征. 结合anchor assign strategy
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相关文章
- 1. Face Paper：Face Scale-Friendly检测
- 2. SaGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing
- 3. ICCV2017_S3FD：Single Shot Scale-invariant Face Detector
- 4. 【论文整理】Face Related Papers and Code Collection
- 5. 【论文整理】Face Related Papers and Code Collection Research
- 6. Reading Note: $ S^3FD $: Single Shot Scale-invariant Face Detector
- 7. (转) Face-Resources
- 8. [reading notes]openface for face recognition
- 9. CVPR2018_Real-Time Rotation-Invariant Face Detection with Progressive Calibration Network
- 10. DSFD: Dual Shot Face Detector