Vision And Language Navigation On Rxr

ndtw

Results

Performance results of various models on this benchmark

		Paper Title
MARVAL	66.76	A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning
EnvEdit-PT	64.61	EnvEdit: Environment Editing for Vision-and-Language Navigation
HAMT	59.94	History Aware Multimodal Transformer for Vision-and-Language Navigation
CLEAR-CLIP	53.69	How Much Can CLIP Benefit Vision-and-Language Tasks?
Monolingual Baseline	41.05	Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding
Multilingual Baseline	36.81	Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding

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