Jul 2026
Test input prioritization for image segmentation: an empirical study
This study evaluates 26 methods across nine models and three datasets, analyzing factors such as IoU thresholds, embedding models, feature fusion techniques, and key parameters, and finds that complexity-based and learning-based methods consistently perform best across all settings.
Yinghua Li, Xueqi Dang, Wendkûuni C. Ouédraogo et al.
· Empirical Software Engineeri... · 0 citations