Object detection is a fundamental visual recognition problem in computer vision and has
been widely studied in the past decades. Visual object detection aims to find objects of …

Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …

The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …

Face anti-spoofing is essential to prevent face recognition systems from a security breach.
Much of the progresses have been made by the availability of face anti-spoofing benchmark …

Face anti-spoofing is essential to prevent face recognition systems from a security breach.
Much of the progresses have been made by the availability of face anti-spoofing benchmark …

Face detection has received intensive attention in recent years. Many works present lots of
special methods for face detection from different perspectives like model architecture, data …

Current state-of-the-art object objectors are fine-tuned from the off-the-shelf networks
pretrained on large-scale classification dataset ImageNet, which incurs some additional …

Face detection generally requires prior boxes and an extra non-maximum suppression
(NMS) post-processing in modern deep learning methods. However, anchor design and …

Face detection has achieved significant progress in recent years. However, high
performance face detection still remains a very challenging problem, especially when there …

Convolutional neural network based methods have dominated object detection in recent
years, which can be divided into the one-stage approach and the two-stage approach. In …