Optimizing Rank-Based Metrics With Blackbox Differentiation
Optimizing Rank-Based Metrics With Blackbox Differentiation
Rank-based metrics are some of the most widely used criteria for performance evaluation of computer vision models. Despite years of effort, direct optimization for these metrics remains a challenge due to their non-differentiable and non-decomposable nature. We present an efficient, theoretically sound, and general method for differentiating rank-based metrics with …