AI RESEARCH
Human Knowledge Integrated Multi-modal Learning for Single Source Domain Generalization
arXiv CS.CV
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ArXi:2603.12369v1 Announce Type: new Generalizing image classification across domains remains challenging in critical tasks such as fundus image-based diabetic retinopathy (DR) grading and resting-state fMRI seizure onset zone (SOZ) detection. When domains differ in unknown causal factors, achieving cross-domain generalization is difficult, and there is no established methodology to objectively assess such differences without direct metadata or protocol-level information from data collectors, which is typically inaccessible. We first.