Digital Library of Zielona Góra contains 9 272 digital objects
Object
Title: Targeted data augmentation for improving model robustness
Contributor:
Campagner, Andrea - ed. ; Lenz, Oliver Urs - ed. ; Xia, Shuyin - ed.
Subtitle:
Group publication title:
Abstract:
This paper proposes a new and effective bias mitigation method called targeted data augmentation (TDA). Since removing biases is often tedious and challenging and may not always lead to effective bias mitigation, we propose an alternative approach: skillfully inserting biases during the training to improve model robustness. To validate the proposed method, we applied TDA to two representative and diverse datasets: a clinical skin lesion dataset and a dataset of male and female faces. ; We identified and manually annotated existing instrument and sampling biases in these datasets, explicitly focusing on black frames and ruler marks in the skin lesion dataset and glasses in the face dataset. Using the counterfactual bias insertion (CBI) method, we confirmed that these biases strongly affect the model performance. By randomly inserting identified biases into training samples, we demonstrated that TDA significantly reduced bias measures by two times to more than 50 times, with only a negligible increase in the error rate. We performed our research on three model families: EfficientNet, DenseNet and Vision Transformer.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
DOI:
Pages:
Source:
AMCS, volume 35, number 1 (2025) ; click here to follow the link
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Repository > Types of work > Articles
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2025)
Last modified:
Aug 7, 2025
In our library since:
Aug 7, 2025
Number of object content hits:
16
All available object's versions:
https://zbc.uz.zgora.pl/repozytorium/publication/101950
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 1 (2025)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 2 (2025)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 3 (2025)
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| Edition name | Date |
|---|---|
| Targeted data augmentation for improving model robustness | Aug 7, 2025 |
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