Papers by Cristian Rodriguez

1 papers
Sub-Instruction Aware Vision-and-Language Navigation (2020.emnlp-main)

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Challenge: Despite significant advances, few previous works are able to fully utilize the strong correspondence between visual and textual sequences.
Approach: They propose to provide agents with fine-grained annotations during training and provide them with sub-instructions and their corresponding paths.
Outcome: The proposed method improves the performance of four state-of-the-art agents in a room-to-room (R2R) benchmark dataset.

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