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MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level
Grounding free-form textual queries necessitates an understanding of these textual phrases and its relation to the visual cues to reliably reason about the described locations.
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET
When the navigational environment is known, it can be represented as a graph where landmarks are nodes, the robot behaviors that move from node to node are edges, and the route is a set of behavioral instructions.
Learning Topics using Semantic Locality
The topic modeling discovers the latent topic probability of the given text documents.
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