Abstract: This study presents a deep learning research aimed at improving the performance of image classification models and increasing interpretability as well. We explore ways to improve the model ...

We integrate key concepts from unsupervised deep spectral methods, which combine spectral graph theory with deep learning methods. We utilize self-supervised transformer features for spectral ...

Abstract: Image-domain least-squares migration (LSM) has demonstrated promising potential in enhancing the spatial resolution of migration images effectively and efficiently. However, existing ...