Cargando…
Teacher–student training and triplet loss to reduce the effect of drastic face occlusion: Application to emotion recognition, gender identification and age estimation
We study a series of recognition tasks in two realistic scenarios requiring the analysis of faces under strong occlusion. On the one hand, we aim to recognize facial expressions of people wearing virtual reality headsets. On the other hand, we aim to estimate the age and identify the gender of peopl...
Autores principales: | Georgescu, Mariana-Iuliana, Duţǎ, Georgian-Emilian, Ionescu, Radu Tudor |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8693600/ https://www.ncbi.nlm.nih.gov/pubmed/34955610 http://dx.doi.org/10.1007/s00138-021-01270-x |
Ejemplares similares
-
Self-restrained triplet loss for accurate masked face recognition
por: Boutros, Fadi, et al.
Publicado: (2022) -
Insight into the drastically different triplet lifetimes of BODIPY obtained by optical/magnetic spectroscopy and theoretical computations
por: Wang, Zhijia, et al.
Publicado: (2020) -
Face masks affect emotion categorisation, age estimation, recognition, and gender classification from faces
por: Wong, Hoo Keat, et al.
Publicado: (2022) -
Epigenetic features drastically impact CRISPR–Cas9 efficacy in plants
por: Weiss, Trevor, et al.
Publicado: (2022) -
Adversarially Learning Occlusions by Backpropagation for Face Recognition
por: Zhao, Caijie, et al.
Publicado: (2023)