文章插图
单步检测 Cascade 的对比尝试此外,我们还在 Data Augmentation、Ensemble 等方面做了改良,因为比力 trivial,这里不再赘述 。 我们曾在 ECCV 2018 Workshop 展示过该方案,更多内容请查阅 slides:
WIDER Face Challenge workshop.pptx
【人脸检测江湖的那些事儿】作者简介
王剑锋,海说神聊京航空航天大学软件学院硕士,旷视科技研究院算法研究员,研究偏向人脸检测、通用物体检测等;人脸检测算法 SFace 和 FAN 一作;2018 年加入计较机视觉顶会 ECCV 挑战赛 WIDER Challenge 获得人脸检测(Face Detection)冠军 。
参考文献:
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[2] Liu Y, Li H, Yan J, et al. Recurrent Scale Approximation for Object Detection in CNN[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017: 571-579.
[3] Yang S, Xiong Y, Loy C C, et al. Face Detection through Scale-Frily Deep Convolutional Networks[J]. arXiv preprint arXiv:1706.02863, 2017.
[4] Zhu C, Zheng Y, Luu K, et al. CMS-RCNN: contextual multi-scale region-based CNN for unconstrained face detection[M]//Deep Learning for Biometrics. Springer, Cham, 2017: 57-79.
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[8] Liu W, Anguelov D, Erhan D, et al. Ssd: Single shot multibox detector[C]//European conference on computer vision. Springer, Cham, 2016: 21-37.
[9] Lin T Y, Goyal P, Girshick R, et al. Focal Loss for Dense Object Detection[C]//Proceedings of the IEEE International Conference on Computer Vision. 2017: 2980-2988.
[10] Huang L, Yang Y, Deng Y, et al. Densebox: Unifying landmark localization with to object detection[J]. arXiv preprint arXiv:1509.04874, 2015.
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[15] Kong T, Sun F, Liu H, et al. Consistent Optimization for Single-Shot Object Detection[J]. arXiv preprint arXiv:1901.06563, 2019.
以上内容就是人脸检测江湖的那些事儿的内容啦,希望对你有所帮助哦!
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