Recent advances in deep learning for object detection

X Wu, D Sahoo, SCH Hoi - Neurocomputing, 2020 - Elsevier
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 …

YOLOv6: A single-stage object detection framework for industrial applications

C Li, L Li, H Jiang, K Weng, Y Geng, L Li, Z Ke… - arxiv preprint arxiv …, 2022 - arxiv.org
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 …

Lightweight convolutional neural network model for human face detection in risk situations

M Wieczorek, J Siłka, M Woźniak… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …

Going deeper into face detection: A survey

S Minaee, P Luo, Z Lin, K Bowyer - arxiv preprint arxiv:2103.14983, 2021 - arxiv.org
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 …

Refineface: Refinement neural network for high performance face detection

S Zhang, C Chi, Z Lei, SZ Li - IEEE transactions on pattern …, 2020 - ieeexplore.ieee.org
Face detection has achieved significant progress in recent years. However, high
performance face detection still remains a very challenging problem, especially when there …

Super-identity convolutional neural network for face hallucination

K Zhang, Z Zhang, CW Cheng… - Proceedings of the …, 2018 - openaccess.thecvf.com
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 …

Lffd: A light and fast face detector for edge devices

Y He, D Xu, L Wu, M Jian, S **ang, C Pan - arxiv preprint arxiv …, 2019 - arxiv.org
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 …

Survey of face detection on low-quality images

Y Zhou, D Liu, T Huang - … face & gesture recognition (FG 2018), 2018 - ieeexplore.ieee.org
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 …

Gradient alignment for cross-domain face anti-spoofing

BM Le, SS Woo - Proceedings of the IEEE/CVF Conference …, 2024 - openaccess.thecvf.com
Recent advancements in domain generalization (DG) for face anti-spoofing (FAS) have
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 …