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Komal Sharma

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Open access Aug 2026

Adaptive Feature Integration in CNN–Transformer Networks for Efficient and Interpretable Visual Classification

A novel adaptive fusion framework that adaptively combines CNN and Transformer features through learnable gating, attention-based feature integration, and explainable-AI methods is developed, intended to improve both computational efficiency and model interpretability.

Komal Sharma, Monika Sainger · 0 citations

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