MobileTransNeXt: Hybrid CNN-Transformer-BiLSTM for Image Classification


 MobileTransNeXt is a novel deep learning model that integrates Convolutional Neural Networks (CNNs), Transformers, and Bidirectional Long Short-Term Memory (BiLSTM) networks for enhanced image classification. By combining the strengths of these architectures, MobileTransNeXt achieves improved feature extraction, contextual understanding, and sequential learning, leading to superior classification performance across various datasets.

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