Fhedn: A context modeling feature hierarchy encoder-decoder network for face detection

Context prior-based with residual learning for face detection: A deep convolutional encoder–decoder network

Z Zhou, Z He, Y Jia, J Du, L Wang, Z Chen - Signal Processing: Image …, 2020 - Elsevier
In the field of security, faces are usually blurry, occluded, diverse pose and small in the
image captured by an outdoor surveillance camera, which is affected by the external …
被引用次数：15 相关文章

Aggregation connection network for tiny face detection

C Zhang, T Li, S Guo, N Li, Y Gao… - 2019 International Joint …, 2019 - ieeexplore.ieee.org
Face detection has been greatly developed in recent years. Despite the remarkable
progress, finding tiny faces in the wild is still a challenge due to the vastly scales, blur …
被引用次数：7 相关文章

An Overview of Recent Developments in Convolutional Neural Network (CNN) Based Face Detector

R Yadav, Priyanka - … Methods and Data Engineering: Proceedings of …, 2020 - Springer
Face detection is a fundamental and extensively studied problem in computer vision. It is the
first and primary step for many applications which include face recognition/verification, face …
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