Huixian Gong

DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection

Out-of-distribution (OOD) detection is crucial for ensuring the robustness of machine learning models by identifying samples that deviate from the training distribution. While traditional OOD detection has predominantly focused on single-modality inputs, such as images, recent advancements in multim…