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Found 2 papers, 1 papers with code
Learning Transferable Reward for Query Object Localization with Policy Adaptation
We propose a reinforcement learning based approach to query object localization, for which an agent is trained to localize objects of interest specified by a small exemplary set.
Exploring Semantic Properties of Sentence Embeddings
Neural vector representations are ubiquitous throughout all subfields of NLP.
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