Leveraging Synthetic Future Classes to Improve Exemplar-Free Class Incremental Learning

Using synthetic images of future classes generated by pre-trained text-to-image diffusion models can significantly improve the performance of exemplar-free class incremental learning methods relying on a frozen feature extractor.