Abstract: Accurate perception of semantic and spatial information is crucial for robots performing language-driven navigation tasks. Existing approaches utilize visual-language models to extract ...
How are NFL talking heads reacting to the Detroit Lions' surprising 27-13 beatdown from the Green Bay Packers in Week 1? Not great, as expected. And it's coming from experts who are noted Lions ...
Abstract: This paper explores zero-shot Vision-and-Language Navigation (VLN), enabling agents to generalize navigation to unseen data classes. Most current approaches rely on large models, but these ...
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