Dissecting the high-frequency bias in convolutional neural networks (2021)
- Authors:
- USP affiliated authors: HIRATA JUNIOR, ROBERTO - IME ; ABELLO, ANTONIO AUGUSTO - IME
- Unidade: IME
- DOI: 10.1109/CVPRW53098.2021.00096
- Subjects: VISÃO COMPUTACIONAL; RECONHECIMENTO DE PADRÕES
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2021
- Source:
- Título: Proceedings
- Conference titles: Conference on Computer Vision and Pattern Recognition Workshops - CVPRW
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ABELLO, Antonio Augusto e HIRATA JÚNIOR, Roberto e WANG, Zhangyang. Dissecting the high-frequency bias in convolutional neural networks. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/CVPRW53098.2021.00096. Acesso em: 13 fev. 2026. -
APA
Abello, A. A., Hirata Júnior, R., & Wang, Z. (2021). Dissecting the high-frequency bias in convolutional neural networks. In Proceedings. Piscataway: IEEE. doi:10.1109/CVPRW53098.2021.00096 -
NLM
Abello AA, Hirata Júnior R, Wang Z. Dissecting the high-frequency bias in convolutional neural networks [Internet]. Proceedings. 2021 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.1109/CVPRW53098.2021.00096 -
Vancouver
Abello AA, Hirata Júnior R, Wang Z. Dissecting the high-frequency bias in convolutional neural networks [Internet]. Proceedings. 2021 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.1109/CVPRW53098.2021.00096 - Optimizing super resolution for face recognition
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Informações sobre o DOI: 10.1109/CVPRW53098.2021.00096 (Fonte: oaDOI API)
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