WIDER FACE: A face detection benchmark
Refereed conference paper presented and published in conference proceedings

替代計量分析
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其它資訊
摘要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.
著者Yang S., Luo P., Loy C.C., Tang X.
會議名稱29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016
會議開始日26.06.2016
會議完結日01.07.2016
會議地點Las Vegas
會議國家/地區美國
詳細描述organized by IEEE,
出版年份2016
月份12
日期9
卷號2016-December
頁次5525 - 5533
國際標準書號9781467388504
國際標準期刊號1063-6919
語言英式英語

上次更新時間 2020-13-08 於 03:39