Cargando…
MFAN: Multi-Level Features Attention Network for Fake Certificate Image Detection
Up to now, most of the forensics methods have attached more attention to natural content images. To expand the application of image forensics technology, forgery detection for certificate images that can directly represent people’s rights and interests is investigated in this paper. Variable tampere...
Autores principales: | Sun, Yu, Ni, Rongrong, Zhao, Yao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774785/ https://www.ncbi.nlm.nih.gov/pubmed/35052144 http://dx.doi.org/10.3390/e24010118 |
Ejemplares similares
-
AI bot to detect fake COVID‐19 vaccine certificate
por: Arif, Muhammad, et al.
Publicado: (2022) -
Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection
por: Fang, Yong, et al.
Publicado: (2019) -
Mul-FaD: attention based detection of multiLingual fake news
por: Ahuja, Nishtha, et al.
Publicado: (2023) -
Fake news stance detection using selective features and FakeNET
por: Aljrees, Turki, et al.
Publicado: (2023) -
AENeT: an attention-enabled neural architecture for fake news detection using contextual features
por: Jain, Vidit, et al.
Publicado: (2021)