Recent advances in deep learning for object detection
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 …
been widely studied in the past decades. Visual object detection aims to find objects of …
The elements of end-to-end deep face recognition: A survey of recent advances
Face recognition (FR) is one of the most popular and long-standing topics in computer
vision. With the recent development of deep learning techniques and large-scale datasets …
vision. With the recent development of deep learning techniques and large-scale datasets …
Retinaface: Single-stage dense face localisation in the wild
Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient face localisation in the wild remains an open challenge. This paper presents a …
efficient face localisation in the wild remains an open challenge. This paper presents a …
DSFD: dual shot face detector
Abstract Recently, Convolutional Neural Network (CNN) has achieved great success in face
detection. However, it remains a challenging problem for the current face detection methods …
detection. However, it remains a challenging problem for the current face detection methods …
Pyramidbox: A context-assisted single shot face detector
Face detection has been well studied for many years and one of remaining challenges is to
detect small, blurred and partially occluded faces in uncontrolled environment. This paper …
detect small, blurred and partially occluded faces in uncontrolled environment. This paper …
YOLO-face: a real-time face detector
W Chen, H Huang, S Peng, C Zhou, C Zhang - The Visual Computer, 2021 - Springer
Face detection is one of the important tasks of object detection. Typically detection is the first
stage of pattern recognition and identity authentication. In recent years, deep learning-based …
stage of pattern recognition and identity authentication. In recent years, deep learning-based …
img2pose: Face alignment and detection via 6dof, face pose estimation
We propose real-time, six degrees of freedom (6DoF), 3D face pose estimation without face
detection or landmark localization. We observe that estimating the 6DoF rigid transformation …
detection or landmark localization. We observe that estimating the 6DoF rigid transformation …
Improved face detection method via learning small faces on hard images based on a deep learning approach
Most facial recognition and face analysis systems start with facial detection. Early
techniques, such as Haar cascades and histograms of directed gradients, mainly rely on …
techniques, such as Haar cascades and histograms of directed gradients, mainly rely on …
Selective refinement network for high performance face detection
High performance face detection remains a very challenging problem, especially when there
exists many tiny faces. This paper presents a novel single-shot face detector, named …
exists many tiny faces. This paper presents a novel single-shot face detector, named …
Tinaface: Strong but simple baseline for face detection
Y Zhu, H Cai, S Zhang, C Wang, Y Xiong - arXiv preprint arXiv:2011.13183, 2020 - arxiv.org
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 …
special methods for face detection from different perspectives like model architecture, data …