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
· International journal of com... · 0 citations