Privacy-Preserving Semantic Segmentation Using Vision Transformer

In this paper, we propose a privacy-preserving semantic segmentation method that uses encrypted images and models with the vision transformer (ViT), called the segmentation transformer (SETR). The combined use of encrypted images and SETR allows us not only to apply images without sensitive visual i...

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Detalles Bibliográficos
Autores principales: Kiya, Hitoshi, Nagamori, Teru, Imaizumi, Shoko, Shiota, Sayaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503913/
https://www.ncbi.nlm.nih.gov/pubmed/36135399
http://dx.doi.org/10.3390/jimaging8090233

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503913/
https://www.ncbi.nlm.nih.gov/pubmed/36135399
http://dx.doi.org/10.3390/jimaging8090233

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