AI RESEARCH
DBMF: A Dual-Branch Multimodal Framework for Out-of-Distribution Detection
arXiv CS.CV
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ArXi:2604.08261v1 Announce Type: new The complex and dynamic real-world clinical environment demands reliable deep learning (DL) systems. Out-of-distribution (OOD) detection plays a critical role in enhancing the reliability and generalizability of DL models when encountering data that deviate from the