Multi-scale Fully Convolutional Network for Face Detection in the Wild

By Yancheng Bai, Bernard Ghanem. 2017

21 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Alexander Amini
2. Wilko Schwarting
3. Ava P. Soleimany
4. Timnit Gebru
5. Daniela Rus
6. Sangeeta N. Bhatia
7. Joy Buolamwini
8. Inioluwa Deborah Raji

Citations in the corpus

• Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure (2019, background): “Even the seemingly simple task of facial recognition [4, 23, 32] has been shown to be subject to extreme amounts of algorithmic bias among select demographics.”
• Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018, background): “…analysis describes a range of face perception tasks including, but not limited to, face detection (Zafeiriou et al., 2015; Mathias et al., 2014; Bai and Ghanem, 2017), face classification (Reid et al., 2013; Levi and Hassner, 2015a; Rothe et al., 2016) and face recognition (Parkhi et al., 2015;…”