Adaptive WildNet Face network for detecting face in the wild
Dinh-Luan Nguyen, Vinh-Tiep Nguyen, Minh–Triet Tran, Atsuo Yoshitaka · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
Combining Convolutional Neural Network and Deformable Part Models is a new trend in object detection area. Following this trend, we propose Adaptive WildNet Face network using Deformable Part Models structure to exploit advantages of two methods in face detection area. We evaluate the merit of our method on Face Detection Data Set and Benchmark. Experimental results show that our method achieves up to 86.22% true positive images in 1000 false positive images in FDDB. Our method becomes one of state-of-the-art methods in FDDB dataset and it opens a new way to detect faces of images in the wild.