2 papers
cs.CV2026
SeNeDiF-OOD: Semantic Nested Dichotomy Fusion for Out-of-Distribution Detection Methodology in Open-World Classification. A Case Study on Monument Style Classification
Ignacio Antequera-Sánchez, Juan Luis Suárez-DÃaz, Rosana Montes +1
Out-of-distribution (OOD) detection is a fundamental requirement for the reliable deployment of artificial intelligence applications in open-world environments. However, addressing…
cs.LG2025
DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detection
Arantxa Urrea-Castaño, Nicolás Segura-Kunsagi, Juan Luis Suárez-DÃaz +2
Out-of-distribution (OOD) detection plays a key role in enhancing the robustness of artificial intelligence systems by identifying inputs that differ significantly from the trainin…