A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models

Shiho Noda, Atsuyuki Miyai, Qing Yu +2

Out-of-distribution (OOD) detection is a task that detects OOD samples during inference to ensure the safety of deployed models. However, conventional benchmarks have reached perfo…