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Diagnosing the Environment Bias in Vision-and-Language Navigation
[article]
2020
arXiv
pre-print
Vision-and-Language Navigation (VLN) requires an agent to follow natural-language instructions, explore the given environments, and reach the desired target locations. These step-by-step navigational instructions are crucial when the agent is navigating new environments about which it has no prior knowledge. Most recent works that study VLN observe a significant performance drop when tested on unseen environments (i.e., environments not used in training), indicating that the neural agent models
arXiv:2005.03086v1
fatcat:ljdaa2rqxvdi3csj4qpap35hca