Face Detection Without Bells and Whistles
Abstract
Face detection is a mature problem in computer vision. While diverse high performing face detectors have been proposed in the past, we present two surprising new top performance results. First, we show that a properly trained vanilla DPM reaches top performance, improving over commercial and research systems. Second, we show that a detector based on rigid templates - similar in structure to the Viola&Jones detector - can reach similar top performance on this task. Importantly, we discuss issues with existing evaluation benchmark and propose an improved procedure.
Cite
Text
Mathias et al. "Face Detection Without Bells and Whistles." European Conference on Computer Vision, 2014. doi:10.1007/978-3-319-10593-2_47Markdown
[Mathias et al. "Face Detection Without Bells and Whistles." European Conference on Computer Vision, 2014.](https://mlanthology.org/eccv/2014/mathias2014eccv-face/) doi:10.1007/978-3-319-10593-2_47BibTeX
@inproceedings{mathias2014eccv-face,
title = {{Face Detection Without Bells and Whistles}},
author = {Mathias, Markus and Benenson, Rodrigo and Pedersoli, Marco and Van Gool, Luc},
booktitle = {European Conference on Computer Vision},
year = {2014},
pages = {720-735},
doi = {10.1007/978-3-319-10593-2_47},
url = {https://mlanthology.org/eccv/2014/mathias2014eccv-face/}
}