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

Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

We analyze how context in class text representations of VL models affects geographical robustness in object recognition. We propose to ensure geographical robustness in soft prompting through a new geography knowledge regularization method. \