2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
ECCV 2024poster
"Out-of-distribution (OOD) detection is crucial for model reliability, as it identifies samples from unknown classes and reduces errors due to unexpected inputs. Vision-Language Models (VLMs) such as CLIP are emerging as powerful tools for OOD detection by integrating multi-modal information. Howeve…