VOS - Learning What You Don't Know By Virtual Outlier Synthesis

This course explains Virtual Outlier Synthesis (VOS), which samples low-probability virtual outliers in feature space to improve out-of-distribution awareness in image classification and object detection. It covers the uncertainty loss, inference-time detection, results, computational cost, and ablations.