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Jul, 2022
用跨语言、环境无关的表征改进视觉语言导航
CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations
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Jialu Li, Hao Tan, Mohit Bansal
TL;DR
该研究提出了CLEAR(跨语言和环境无关表示)方法,通过学习跨语言和环境无关的引导方法,解决了Vision-and-Language Navigation任务中的难题,并在Room-Across-Room数据集中证明了该方法的有效性。
Abstract
vision-and-language navigation
(VLN) tasks require an agent to navigate through the environment based on language instructions. In this paper, we aim to solve two key challenges in this task: utilizing
multilingual inst
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