10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CV2026
FoA-SR: Faithful or Aesthetic? Profile-Aware Preference Optimization for Real-World Image Super-Resolution
Amjad Mahdi Alqarni, Peizhong Ju
Real-world image super-resolution (SR) is often designed with a single restoration objective, despite the current capacity of generative models to produce multiple high-quality rec…
eess.IV2024★ 10 cited
Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study
Sania Eskandari, Ali Eslamian, Nusrat Munia +2
This study evaluates the effectiveness of deep learning models in classifying histopathological images for early and accurate detection of breast cancer. Eight advanced models, inc…