Evaluation of Randomization through Style Transfer for Enhanced Domain Generalization

Dustin Eisenhardt, Timothy Schaumlöffel, Alperen Kantarci +1

Deep learning models for computer vision often suffer from poor generalization when deployed in real-world settings, especially when trained on synthetic data due to the well-known…