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 …
YOLOv6: A single-stage object detection framework for industrial applications
For years, the YOLO series has been the de facto industry-level standard for efficient object
detection. The YOLO community has prospered overwhelmingly to enrich its use in a …
detection. The YOLO community has prospered overwhelmingly to enrich its use in a …
Lightweight convolutional neural network model for human face detection in risk situations
In this article, we propose a model of face detection in risk situations to help rescue teams
speed up the search of people who might need help. The proposed lightweight …
speed up the search of people who might need help. The proposed lightweight …
Going deeper into face detection: A survey
Face detection is a crucial first step in many facial recognition and face analysis systems.
Early approaches for face detection were mainly based on classifiers built on top of hand …
Early approaches for face detection were mainly based on classifiers built on top of hand …
Refineface: Refinement neural network for high performance face detection
Face detection has achieved significant progress in recent years. However, high
performance face detection still remains a very challenging problem, especially when there …
performance face detection still remains a very challenging problem, especially when there …
Super-identity convolutional neural network for face hallucination
Face hallucination is a generative task to super-resolve the facial image with low resolution
while human perception of face heavily relies on identity information. However, previous …
while human perception of face heavily relies on identity information. However, previous …
Lffd: A light and fast face detector for edge devices
Face detection, as a fundamental technology for various applications, is always deployed on
edge devices which have limited memory storage and low computing power. This paper …
edge devices which have limited memory storage and low computing power. This paper …
Survey of face detection on low-quality images
Face detection is a well-explored problem. Many challenges on face detectors like extreme
pose, illumination, low resolution and small scales are studied in the previous work …
pose, illumination, low resolution and small scales are studied in the previous work …
Gradient alignment for cross-domain face anti-spoofing
Recent advancements in domain generalization (DG) for face anti-spoofing (FAS) have
garnered considerable attention. Traditional methods have focused on designing learning …
garnered considerable attention. Traditional methods have focused on designing learning …
A method of radar target detection based on convolutional neural network
W Jiang, Y Ren, Y Liu, J Leng - Neural Computing and Applications, 2021 - Springer
Radar target detection (RTD) is one of the most significant techniques in radar systems,
which has been widely used in the field of military and civilian. Although radar signal …
which has been widely used in the field of military and civilian. Although radar signal …