Open Vocabulary Scene Parsing

Recognizing arbitrary objects in the wild has been a challenging problem due to the limitations of existing classification models and datasets. In this paper, we propose a new task that aims at parsing scenes with a large and open vocabulary, and several evaluation metrics are explored for this prob...

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Bibliographic Details
Main Authors: Zhao, Hang (Author), Puig Fernandez, Xavier (Author), Zhou, Bolei (Author), Fidler, Sanja (Author), Torralba, Antonio (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2020-01-20T18:41:32Z.
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