Evaluation of data augmentation techniques on subjective tasks-Reference-Cited by-同舟云学术

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Evaluation of data augmentation techniques on subjective tasks

Published:2024-07 Issue:4 Volume:35 Page:
ISSN:0932-8092
Container-title:Machine Vision and Applications
language:en
Short-container-title:Machine Vision and Applications

Author:

Gonzalez-Naharro Luis,Flores M. Julia,Martínez-Gómez Jesus,Puerta Jose M.

Funder

Universidad de Castilla-La Mancha

Junta de Comunidades de Castilla-La Mancha

European Regional Development Fund

Ministerio de Ciencia e Innovación

European Social Fund Plus

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00138-024-01574-8.pdf

Reference32 articles.

1. Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504–507 (2006). https://doi.org/10.1126/science.1127647

2. Gonzalez-Naharro, L., Flores, M.J., Martínez-Gómez, J., Puerta, J.M.: Novel groundtruth transformations for the aesthetic assessment problem. Inf. Process. Manag. 60(4), 103368 (2023). https://doi.org/10.1016/j.ipm.2023.103368

3. Murray, N., Marchesotti, L., Perronnin, F.: Ava: a large-scale database for aesthetic visual analysis. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2408–2415 (2012)

4. Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248–255. IEEE (2009)

5. Chlap, P., Min, H., Vandenberg, N., Dowling, J., Holloway, L., Haworth, A.: A review of medical image data augmentation techniques for deep learning applications. J. Med. Imaging Radiat. Oncol. 65(5), 545–563 (2021). https://doi.org/10.1111/1754-9485.13261

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