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Author

Mohammed Hamid Alkubaisi

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ConvNeXt-Tiny for High-Accuracy Natural Scene Image Classification with Test-Time Augmentation

The ConvNeXt-Tiny architecture combined with Test-Time Augmentation is used in this paper to present a strong deep learning system for multi-class natural scene image classification, incorporating the design principles of Vision Transformers.

Mohammed Hamid Alkubaisi, Issa Mohammed Mishaal, B. T. Sabri et al. · 0 citations

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