Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP

Sepideh Esmaeilpour, Bing Liu, Eric Robertson +1

In an out-of-distribution (OOD) detection problem, samples of known classes(also called in-distribution classes) are used to train a special classifier. In testing, the classifier…