most citedUncertainty-Participation Context Consistency Learning for Semi-supervised Semantic Segmentation

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stat.ML2025

A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection

Ningkang Peng, Yuzhe Mao, Yuhao Zhang +5

Out-of-Distribution (OOD) detection is a cornerstone for the safe deployment of AI systems in the open world. However, existing methods treat OOD detection as a binary classificati…