Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine
The paper presents a novel approach, MultiRankIt, for a task defined as Learning-to-Rank Physical Objects (LTRPO). The task involves retrieving target objects from open-vocabulary user instructions in a human-in-the-loop setting….
Continue reading