2025
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
NeurIPS 2025poster
Out-of-distribution (OOD) detection and segmentation are crucial for deploying machine learning models in safety-critical applications such as autonomous driving and robot-assisted surgery. While prior research has primarily focused on unimodal image data, real-world applications are inherently mult…