A Comprehensive Review of Face Recognition Techniques, Trends and Challenges

HL Gururaj, BC Soundarya, S Priya, J Shreyas… - IEEE …, 2024 - ieeexplore.ieee.org
Face Recognition (FR) is the technology used to identify and verify individuals based on
their facial features. In recent decades, FR plays a crucial role in various sectors, including …

Image captioning using transformer-based double attention network

H Parvin, AR Naghsh-Nilchi, HM Mohammadi - Engineering Applications of …, 2023 - Elsevier
Image captioning generates a human-like description for a query image, which has attracted
considerable attention recently. The most broadly utilized model for image description is an …

Learning dual aggregate features for face forgery detection

Y Kou, Q Jiang, J Zhang, X Jin, P Wei, S Miao… - Neural Computing and …, 2024 - Springer
The rapid development of face forgery technologies brings security issues, and the
importance of face forgery detection has increased. While some existing methods deliver …

Dynamic-distance-based thresholding for UAV-based face verification algorithms

J Diez-Tomillo, JM Alcaraz-Calero, Q Wang - Sensors, 2023 - mdpi.com
Face verification, crucial for identity authentication and access control in our digital society,
faces significant challenges when comparing images taken in diverse environments, which …

On coverage of critical nodes in UAV-assisted emergency networks

M Waheed, R Ahmad, W Ahmed, M Mahtab Alam… - Sensors, 2023 - mdpi.com
Unmanned aerial vehicle (UAV)-assisted networks ensure agile and flexible solutions based
on the inherent attributes of mobility and altitude adaptation. These features render them …

[HTML][HTML] Hp-yolov8: high-precision small object detection algorithm for remote sensing images

G Yao, S Zhu, L Zhang, M Qi - Sensors, 2024 - mdpi.com
YOLOv8, as an efficient object detection method, can swiftly and precisely identify objects
within images. However, traditional algorithms encounter difficulties when detecting small …

Data fusion analysis and synthesis framework for improving disaster situation awareness

M Aksit, H Say, MA Eren, VV de Camargo - Drones, 2023 - mdpi.com
To carry out required aid operations efficiently and effectively after an occurrence of a
disaster such as an earthquake, emergency control centers must determine the effect of …

[HTML][HTML] Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats

E Jurkus, J Taminskas, R Povilanskas, A Urbis… - Journal of Marine …, 2025 - mdpi.com
In the coastal zone, two types of habitats—linear and areal—are distinguished. The main
differences between both types are their shape and structure and the hydro-and litho …

Face verification algorithms for UAV applications: an empirical comparative analysis

J Diez-Tomillo, JM Alcaraz-Calero… - … Software and Systems, 2024 - hrcak.srce.hr
Sažetak Unmanned Aerial Vehicles (UAVs) are revolutionising diverse computer vision use
case domains, from public safety surveillance to Search and Rescue (SAR), and other …

Age transformation based on deep learning: a survey

Y Guo, X Su, G Yan, Y Zhu, X Lv - Neural Computing and Applications, 2024 - Springer
Age transformation aims to preserve personalized facial information while altering a given
face to appear at a target age. This technique finds extensive applications in fields such as …