Unified Entropy Optimization for Robust Open-Set Test-Time Adaptation

A unified entropy optimization framework that can simultaneously adapt to covariate-shifted in-distribution data and detect covariate-shifted out-of-distribution data, improving the robustness of existing test-time adaptation methods under open-set settings.