A hybrid local-global feature attention network for thin section rock image classification
{{output}}
Accurate classification of thin-section rock images is critical for geological surveys, resource exploration, and automated petrographic analysis. However, existing deep learning models struggle to balance local texture representation and global semantic conte... ...
