CoDG-Net: Structure-Guided Style Diffusion and Collaborative Learning to Mitigate Catastrophic Forgetting in Medical Image Domain Generalization

arXiv:2610.05053 · cs.CV · Submitted 2026-10-04 · Read on arXiv

cs.CV

Submitted: 2026-10-04

Updated: 2026-10-04

Comments: Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence Main Track. Pages 1622-1630. https://doi.org/10.24963/ijcai.2026/181

Journal ref: Main Track, 2026, Pages 1622-1630

DOI: 10.24963/ijcai.2026/181

Code: https://github.com/wangprocess/CoDG-Net

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes

Sources

• Medical Image Segmentation Using Squeeze-and-Expansion Transformers
• Autoencoder-Based Hybrid Replay for Class-Incremental Learning
• LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation
• A Statistical Theory of Regularization-Based Continual Learning

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