In computer vision, significant advances have been made on object detection with the rapid
development of deep convolutional neural networks (CNN). This paper provides a …

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 …

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 …

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 …

This paper presents a real-time face detector, named Single Shot Scale-invariant Face
Detector (S3FD), which performs superiorly on various scales of faces with a single deep …

Ship detection has been playing a significant role in the field of remote sensing for a long
time, but it is still full of challenges. The main limitations of traditional ship detection methods …

Though tremendous strides have been made in object recognition, one of the remaining
open challenges is detecting small objects. We explore three aspects of the problem in the …

Biometrics is the branch of science that deals with the identification and verification of an
individual based on the physiological and behavioral traits. These traits or identifiers are …

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 …

Abstract We introduce the Single Stage Headless (SSH) face detector. Unlike two stage
proposal-classification detectors, SSH detects faces in a single stage directly from the early …