Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics
Published in: International Conference on Intelligent Robots and Systems (IROS)
This paper introduces a method to improve model robustness against input corruptions by adapting normalization statistics for each specific corruption type.