Face detection based on a human attention guided multi-scale model
Multiscale models are among the cutting-edge technologies used for face detection and
recognition. An example is Deformable part-based models (DPMs), which encode a face as …
recognition. An example is Deformable part-based models (DPMs), which encode a face as …
Exploiting face recognizability with early exit vision transformers
Face recognition with Deep Learning is generally approached as a problem of capacity. The
field has seen progressively deeper, more complex models or larger, more highly variant …
field has seen progressively deeper, more complex models or larger, more highly variant …
Uniss-FGD: a Novel Dataset of Human Gazes over Images of Faces
Face detection and recognition play pivotal roles across various domains, spanning from
personal authentication to forensic investigations, surveillance, entertainment, and social …
personal authentication to forensic investigations, surveillance, entertainment, and social …
Assessing bias and computational efficiency in vision transformers using early exits
Face recognition with deep learning is generally approached as a problem of capacity. The
field has seen progressively deeper, more complex models or larger, more highly variant …
field has seen progressively deeper, more complex models or larger, more highly variant …
Forensic Biometrics: Challenges, Innovation and Opportunities
Forensic science has always benefited from the adoption and exploitation of novel
technologies to perform and analyze measurements at a crime scene and in the laboratory …
technologies to perform and analyze measurements at a crime scene and in the laboratory …
[PDF][PDF] Uniss-FGD: A Novel Dataset of Human Gazes Over Images of Faces
MI CADONI - 2024 - iris.unica.it
Face detection and recognition play pivotal roles across various domains, spanning from
personal authentication to forensic investigations, surveillance, entertainment, and social …
personal authentication to forensic investigations, surveillance, entertainment, and social …
Exploiting Face Recognizability with Early Exit Vision Transformers
PR Seth Nixon - 2023 - dl.gi.de
Zusammenfassung Face recognition with Deep Learning is generally approached as a
problem of capacity. The field has seen progressively deeper, more complex models or …
problem of capacity. The field has seen progressively deeper, more complex models or …