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 …

Due to object detection's close relationship with video analysis and image understanding, it
has attracted much research attention in recent years. Traditional object detection methods …

Face mask detection had seen significant progress in the domains of Image processing and
Computer vision, since the rise of the Covid-19 pandemic. Many face detection models have …

Abstract Deep Convolutional Neural Network (CNN) is a special type of Neural Networks,
which has shown exemplary performance on several competitions related to Computer …

We propose a new" Poisson flow" generative model~(PFGM) that maps a uniform
distribution on a high-dimensional hemisphere into any data distribution. We interpret the …

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 …

In this work, we perform unsupervised learning of representations by maximizing mutual
information between an input and the output of a deep neural network encoder. Importantly …

The rapid worldwide spread of Coronavirus Disease 2019 (COVID-19) has resulted in a
global pandemic. Correct facemask wearing is valuable for infectious disease control, but …

The field of computer vision is experiencing a great-leap-forward development today. This
paper aims at providing a comprehensive survey of the recent progress on computer vision …

In this work, we propose" Residual Attention Network", a convolutional neural network using
attention mechanism which can incorporate with state-of-art feed forward network …