3 papers
stat.ML2025
Enhancing OOD Detection Using Latent Diffusion
Heng Gao, Jun Li
Out-of-distribution (OOD) detection is crucial for the reliable deployment of machine learning models in real-world scenarios, enabling the identification of unknown samples or obj…
cs.CV2025
Multi-modality Anomaly Segmentation on the Road
Heng Gao, Zhuolin He, Shoumeng Qiu +2
Semantic segmentation allows autonomous driving cars to understand the surroundings of the vehicle comprehensively. However, it is also crucial for the model to detect obstacles th…
cs.LG2025
Detecting OOD Samples via Optimal Transport Scoring Function
Heng Gao, Zhuolin He, Jian Pu
To deploy machine learning models in the real world, researchers have proposed many OOD detection algorithms to help models identify unknown samples during the inference phase and…