A word embedding based re-ranking of CNN top-5 predictions adds 0.2 to 1.9 accuracy points in indoor scene classification for robots when the broad environment is known.
Evaluating bag-of-visual-words representations in scene classification,
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Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings
A word embedding based re-ranking of CNN top-5 predictions adds 0.2 to 1.9 accuracy points in indoor scene classification for robots when the broad environment is known.