2024
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition
CVPR 2024poster
Existing object recognition models have been shown to lack robustness in diverse geographical scenarios due to domain shifts in design and context. Class representations need to be adapted to more accurately reflect an object concept under these shifts. In the absence of training data from target ge…