Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition

We analyze how context in class text representations of VL models affects geographical robustness in object recognition. We propose to learn robust soft prompts by regularizing world knowledge from LLMs without using in data from target domain.