AI RESEARCH
Cross-Sample Relational Fusion: Unifying Domain Generalization and Class-Incremental Learning
arXiv CS.CV
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ArXi:2605.08839v1 Announce Type: new Class-Incremental Learning (CIL) requires a learning system to learn new classes while retaining previously learned knowledge. However, in real-world scenarios such as autonomous driving, a system trained on urban roads in sunny weather may later need to operate in rural or highway environments with different traffic patterns and weather conditions. This requires the model not only to overcome catastrophic forgetting, but also to effectively handle domain shifts.