Before revision:  Compared to the indoor navigation task that has been broadly studied, navigation in real-life outdoor environments remains a significant challenge with its complicated visual inputs and an insufficient amount of instructions that illustrate the intricate urban scenes . In this paper , we introduce a Multimodal Text Style Transfer (MTST) learning approach to mitigate the problem of data scarcity in outdoor navigation tasks by effectively leveraging external multimodal resources .
After revision:  Compared to the indoor navigation task that has been broadly studied, navigation in real-life outdoor environments remains a significant challenge with its complicated visual inputs and an insufficient amount of instructions that illustrate the intricate urban scenes , outdoor VLN remains a challenging task to solve. This paper introduces a Multimodal Text Style Transfer (MTST) learning approach to mitigate the problem of data scarcity in outdoor navigation tasks by effectively leveraging external multimodal resources .