Along with the dataset, we’re releasing two #PyTorch toolboxes for data handling and cross-domain few-shot learning to help participants kick-start their submissions, and make CD-FSL more accessible to the community! 🚀

The L2L challenge is focused on Cross-Domain Few-shot Learning. CD-FSL approaches such as meta-learning offer the potential to exploit similarities between different datasets to learn previously unseen tasks more efficiently. However, CD-FSL is underexplored in medical imaging.