(not a native speaker, sorry for mistakes!)
The research presents notable advances in person recognition by integrating CutMix via an adapted triplet loss and introducing the novel Strip-CutMix technique. Experiments showed consistent improvements, achieving state-of-the-art results on several datasets. However, the approach still needs more extensive evaluation across diverse data. There are also open questions around long-term effects of blending images and proper hyperparameter tuning.
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