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cs.CV2024
Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval
Kyle Buettner, Adriana Kovashka
There is a scarcity of multilingual vision-language models that properly account for the perceptual differences that are reflected in image captions across languages and cultures.…
cs.CV2024
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition
Kyle Buettner, Sina Malakouti, Xiang Lorraine Li +1
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…