CVJun 10, 2016
Face Detection with the Faster R-CNN
arXiv:1606.03473v1726 citations
AI Analysis
This work improves face detection accuracy for applications like security and social media, but it is incremental as it applies an existing method to a specific domain.
The authors tackled face detection by training a Faster R-CNN model on the WIDER face dataset, achieving state-of-the-art results on the FDDB and IJB-A benchmarks.
The Faster R-CNN has recently demonstrated impressive results on various object detection benchmarks. By training a Faster R-CNN model on the large scale WIDER face dataset, we report state-of-the-art results on two widely used face detection benchmarks, FDDB and the recently released IJB-A.