History-Enhanced Two-Stage Transformer for Aerial Vision-and-Language Navigation

This article describes a research paper on a novel approach to aerial vision-and-language navigation. The core of the work involves a two-stage Transformer architecture enhanced with historical information. This suggests an attempt to improve navigation accuracy and efficiency by leveraging past experiences and contextual understanding within the aerial environment. The use of a Transformer indicates a focus on leveraging the power of attention mechanisms for processing visual and linguistic data.