A Dual Semantic-Aware Recurrent Global-Adaptive Network For Vision-and-Language Navigation. (arXiv:2305.03602v1 [cs.CV])

Vision-and-Language Navigation (VLN) is a realistic but challenging task that
requires an agent to locate the target region using verbal and visual cues.
While significant advancements have been achieved recently, there are still two
broad limitations: (1) The explicit information mining for significant guiding
semantics concealed in both vision and language is still under-explored; (2)
The previously structured map method provides the average historical appearance
of visited nodes, while it ignores distinctive contributions of various images
and potent information retention …

arxiv global information language mining navigation network semantic semantics verbal vision visual cues