Abstract: Out-of-distribution (OOD) detection refers to training the model on an in-distribution (ID) dataset to classify whether the input images come from unknown classes. Considerable effort has ...

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TL;DR. To address the negation issue in CLIP, we propose data generation pipelines and validate their effectiveness using public and novel benchmarks. Our approach enhances negation awareness and ...