Beyond Objects: Contextual Synthetic Data Generation for Fine-Grained Classification 事件

Beyond Objects: Contextual Synthetic Data Generation for Fine-Grained Classification arXiv:2510.24078v2 Announce Type: replace Abstract: Text-to-image (T2I) models are increasingly used for synthetic dataset generation, but generating effective synthetic training data for classification remains challenging. Fine-tuning a T2I model with a few real examples can help improve the quality of synthetic training data; however, it may also cause overfitting and reduce diversity in the generated samples