AI RESEARCH
Near OOD Detection for Vision-Language Prompt Learning with Contrastive Logit Score
arXiv CS.CV
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ArXi:2405.16091v2 Announce Type: replace Prompt learning has emerged as an efficient and effective method for fine-tuning vision-language models such as CLIP. While many studies have explored generalisation abilities of these models in few-shot classification tasks and a few studies have addressed far out-of-distribution (OOD) of the models, their potential for addressing near OOD detection remains underexplored. Existing methods either require