Gongzheng Tang

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint

Imbalanced data distributions are prevalent in real-world scenarios, presenting significant challenges in both classification and regression tasks. This imbalance often causes deep learning models to overfit in regions with abundant data (manyshot regions) while underperforming in regions with spars…