On Improving Generalization of CNN-Based Image Classification with Delineation Maps Using the CORF Push-Pull Inhibition Operator-Reference-Cited by-同舟云学术

On Improving Generalization of CNN-Based Image Classification with Delineation Maps Using the CORF Push-Pull Inhibition Operator

Published:2021 Issue: Volume: Page:434-444
ISSN:0302-9743
Container-title:Computer Analysis of Images and Patterns
language:
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Author:

Bennabhaktula Guru Swaroop^ORCID,Antonisse Joey^ORCID,Azzopardi George^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-89128-2_42

Reference26 articles.

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3. Azzopardi, G., Rodríguez-Sánchez, A., Piater, J., Petkov, N.: A push-pull CORF model of a simple cell with antiphase inhibition improves SNR and contour detection. PLoS One 9(7), e98424 (2014)

4. Boncelet, C.: Image noise models. In: The Essential Guide to Image Processing, pp. 143–167. Elsevier (2009)

5. Da Costa, G.B.P., Contato, W.A., Nazare, T.S., Neto, J.E., Ponti, M.: An empirical study on the effects of different types of noise in image classification tasks. arXiv preprint arXiv:1609.02781 (2016)

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