GRADIL: A NOVEL APPROACH TO GRADIENT-BASED IMAGE LOCALIZATION

Recent advances in computer vision have demonstrated the efficacy of gradient-based methods for various tasks, including image detection. GradIL, a novel approach to gradient-based image localization, presents a compelling solution by leveraging the power gradil eventos of deep learning and optimized gradient calculations. This technique effectivel