Discriminative Shape Feature Pooling in Deep Neural Networks

Although deep learning approaches are able to generate generic image features from massive labeled data, discriminative handcrafted features still have advantages in providing explicit domain knowledge and reflecting intuitive visual understanding. Much of the existing research focuses on integratin...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Gang, Dixit, Chahna, Qi, Guanqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144532/
https://www.ncbi.nlm.nih.gov/pubmed/35621882
http://dx.doi.org/10.3390/jimaging8050118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144532/
https://www.ncbi.nlm.nih.gov/pubmed/35621882
http://dx.doi.org/10.3390/jimaging8050118

Ejemplares similares