Evaluation of transfer learning scenarios in plankton image classification (2018)
- Authors:
- USP affiliated authors: HIRATA, NINA SUMIKO TOMITA - IME ; LOPES, RUBENS MENDES - IO ; HIRATA JUNIOR, ROBERTO - IME ; ABELLO, ANTONIO AUGUSTO - IME
- Unidades: IME; IO
- DOI: 10.5220/0006626703590366
- Subjects: APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE PADRÕES; VISÃO COMPUTACIONAL
- Keywords: transfer learning; plankton classification; CNN; SVM; Alexnet; ImageNet
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Science and Technology Publications - SCITEPRESS
- Publisher place: Setúbal
- Date published: 2018
- Source:
- Título do periódico: Proceedings
- Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by-nc-nd
-
ABNT
RODRIGUES, Francisco Caio Maia et al. Evaluation of transfer learning scenarios in plankton image classification. 2018, Anais.. Setúbal: Science and Technology Publications - SCITEPRESS, 2018. Disponível em: https://doi.org/10.5220/0006626703590366. Acesso em: 24 abr. 2024. -
APA
Rodrigues, F. C. M., Hirata, N. S. T., Abello, A. A., Cruz, L. T. de la, Lopes, R. M., & Hirata Júnior, R. (2018). Evaluation of transfer learning scenarios in plankton image classification. In Proceedings. Setúbal: Science and Technology Publications - SCITEPRESS. doi:10.5220/0006626703590366 -
NLM
Rodrigues FCM, Hirata NST, Abello AA, Cruz LT de la, Lopes RM, Hirata Júnior R. Evaluation of transfer learning scenarios in plankton image classification [Internet]. Proceedings. 2018 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.5220/0006626703590366 -
Vancouver
Rodrigues FCM, Hirata NST, Abello AA, Cruz LT de la, Lopes RM, Hirata Júnior R. Evaluation of transfer learning scenarios in plankton image classification [Internet]. Proceedings. 2018 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.5220/0006626703590366 - Optimizing super resolution for face recognition
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Informações sobre o DOI: 10.5220/0006626703590366 (Fonte: oaDOI API)
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