Evaluation of Randomization through Style Transfer for Enhanced Domain Generalization
arXiv:2604.05616v1 Announce Type: new
Abstract: 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 Sim2Real gap. Despite …