English

Face Detection Using Improved Faster RCNN

Computer Vision and Pattern Recognition 2018-02-08 v1

Abstract

Faster RCNN has achieved great success for generic object detection including PASCAL object detection and MS COCO object detection. In this report, we propose a detailed designed Faster RCNN method named FDNet1.0 for face detection. Several techniques were employed including multi-scale training, multi-scale testing, light-designed RCNN, some tricks for inference and a vote-based ensemble method. Our method achieves two 1th places and one 2nd place in three tasks over WIDER FACE validation dataset (easy set, medium set, hard set).

Keywords

Cite

@article{arxiv.1802.02142,
  title  = {Face Detection Using Improved Faster RCNN},
  author = {Changzheng Zhang and Xiang Xu and Dandan Tu},
  journal= {arXiv preprint arXiv:1802.02142},
  year   = {2018}
}
R2 v1 2026-06-23T00:13:31.851Z