Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloMulti-branch CNN for Multi-scale Age Estimation
Anno di pubblicazione2017
Formato-
Autore/iDel Coco, Marco and Carcagnì, Pierluigi and Leo, Marco and Spagnolo, Paolo and Mazzeo, Pier Luigi and Distante, Cosimo
Affiliazioni autoriCNR-ISASI
Autori CNR e affiliazioni
  • MARCO DEL COCO
  • COSIMO DISTANTE
  • MARCO LEO
  • PIERLUIGI CARCAGNI'
  • PIER LUIGI MAZZEO
  • PAOLO SPAGNOLO
Lingua/e
  • inglese
AbstractConvolutional Neural Networks (CNNs) attracted growing interest in recent years thanks to their high generalization capabilities that are highly recommended especially for applications working in the wild context. However CNNs rely on a huge number of parameters that must be set during training sessions based on very large datasets in order to avoid over-fitting issues. As a consequence the lack in training data is one of the greatest limits for the applicability of deep networks. Another problem is represented by the fixed scale of the filter in the first convolutional layer that limits the analysis performed through the subsequent layers of the network.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da234
Pagine a244
Pagine totali-
RivistaLecture notes in computer science
Attiva dal 1973
Editore: Springer - Berlin
Paese di pubblicazione: Germania
Lingua: multilingue
ISSN: 0302-9743
Titolo chiave: Lecture notes in computer science
Titolo proprio: Lecture notes in computer science.
Titolo abbreviato: Lect. notes comput. sci.
Titoli alternativi:
  • Lecture notes in computer science. Lecture notes in artificial intelligence
  • Lecture notes in artificial intelligence
  • LNCS. Lecture notes in computer science (Print)
  • Lecture notes in computer science (Print)
  • Lecture notes in computer science. LNAI. Lecture notes in artificial intelligence
  • Lecture notes in computer science. Lecture notes in bioinformatics (Print)
  • Lecture notes in computer science. Journal subline
Numero volume della rivista10590
Fascicolo della rivista-
DOI-
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiaveCNN Deep learning Age estimation
Link (URL, URI)-
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • ISASI — Istituto di Scienze Applicate e Sistemi Intelligenti "Eduardo Caianiello"
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-
Allegati