A Grad-CAM-based methodology with similarity metrics reveals that data augmentation techniques affect learned attention patterns in distinct clusters, but individual differences are small.
Towards explainable deep neural networks (xdnn)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification
A Grad-CAM-based methodology with similarity metrics reveals that data augmentation techniques affect learned attention patterns in distinct clusters, but individual differences are small.