DCV-ROOD is a dual cross-validation framework for OOD detection that splits ID data by stratified folds and OOD data by class groups, reproducing benchmark statistical comparisons at lower cost.
IEEE/ACM Transactions on Audio, Speech, and Language Processing28, 1198–1209 (2020)
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DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detection
DCV-ROOD is a dual cross-validation framework for OOD detection that splits ID data by stratified folds and OOD data by class groups, reproducing benchmark statistical comparisons at lower cost.