A framework that retrains image classifiers on metamorphically augmented data with semi-supervised algorithms is presented, but its central robustness claim is inconsistent with the reported experiments.
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Enhancing Deep Learning Model Robustness through Metamorphic Re-Training
A framework that retrains image classifiers on metamorphically augmented data with semi-supervised algorithms is presented, but its central robustness claim is inconsistent with the reported experiments.