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Hase et al., 2019 - Google Patents

Data augmentation for intra-class imbalance with generative adversarial network

Hase et al., 2019

Document ID
9844969899303793322
Author
Hase N
Ito S
Kaneko N
Sumi K
Publication year
Publication venue
Fourteenth International Conference on Quality Control by Artificial Vision

External Links

Snippet

In classification tasks, the accuracy of classifiers depends on training data. It is known that inter-class imbalanced data degrade the classification accuracy. Previous approaches tend to use data augmentation to solve inter-class imbalance, but the possibility of intra-class …
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Classifications

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