WIDER FACE: A Face Detection Benchmark
Top Cited Papers
- 1 June 2016
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 5525-5533
- https://doi.org/10.1109/cvpr.2016.596
Abstract
Face detection is one of the most studied topics in the computer vision community. Much of the progresses have been made by the availability of face detection benchmark datasets. We show that there is a gap between current face detection performance and the real world requirements. To facilitate future face detection research, we introduce the WIDER FACE dataset1, which is 10 times larger than existing datasets. The dataset contains rich annotations, including occlusions, poses, event categories, and face bounding boxes. Faces in the proposed dataset are extremely challenging due to large variations in scale, pose and occlusion, as shown in Fig. 1. Furthermore, we show that WIDER FACE dataset is an effective training source for face detection. We benchmark several representative detection systems, providing an overview of state-of-the-art performance and propose a solution to deal with large scale variation. Finally, we discuss common failure cases that worth to be further investigated.Keywords
This publication has 19 references indexed in Scilit:
- A deep pyramid Deformable Part Model for face detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Multi-view Face Detection Using Deep Convolutional Neural NetworksPublished by Association for Computing Machinery (ACM) ,2015
- A convolutional neural network cascade for face detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark APublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Face detection by structural modelsImage and Vision Computing, 2014
- Multiscale Combinatorial GroupingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Selective Search for Object RecognitionInternational Journal of Computer Vision, 2013
- The Pascal Visual Object Classes (VOC) ChallengeInternational Journal of Computer Vision, 2009
- Integral Channel FeaturesPublished by British Machine Vision Association and Society for Pattern Recognition ,2009
- Robust Real-Time Face DetectionInternational Journal of Computer Vision, 2004