SIFT-CNN: When Convolutional Neural Networks Meet Dense SIFT Descriptors for Image and Sequence Classification

Despite the success of hand-crafted features in computer visioning for many years, nowadays, this has been replaced by end-to-end learnable features that are extracted from deep convolutional neural networks (CNNs). Whilst CNNs can learn robust features directly from image pixels, they require large...

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Detalles Bibliográficos
Autores principales: Tsourounis, Dimitrios, Kastaniotis, Dimitris, Theoharatos, Christos, Kazantzidis, Andreas, Economou, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604913/
https://www.ncbi.nlm.nih.gov/pubmed/36286349
http://dx.doi.org/10.3390/jimaging8100256

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604913/
https://www.ncbi.nlm.nih.gov/pubmed/36286349
http://dx.doi.org/10.3390/jimaging8100256

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