Learning transferable negative prompts for out-of-distribution detection

• Main Authors: LI, Tianqi, PANG, Guansong, BAI, Xiao, MIAO, Wenjun, ZHENG, Jin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Out-of-Distribution detection; OOD detection; Open-vocabulary learning; Closed-vocabulary classification; Open-vocabulary classification; Artificial Intelligence and Robotics; Computer Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/9759; https://ink.library.smu.edu.sg/context/sis_research/article/10759/viewcontent/2404.03248v1.pdf
• Institution: Singapore Management University

Existing prompt learning methods have shown certain capabilities in Out-of-Distribution (OOD) detection, but the lack of OOD images in the target dataset in their training can lead to mismatches between OOD images and In-Distribution (ID) categories, resulting in a high false positive rate. To addre...