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Knowledge Aided Consistency for Weakly Supervised Phrase Grounding
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Given a natural language query, a phrase grounding system aims to localize mentioned objects in an image. In weakly supervised scenario, mapping between image regions (i.e., proposals) and language is not available in the training set. Previous methods address this deficiency by training a grounding system via learning to reconstruct language information contained in input queries from predicted proposals. However, the optimization is solely guided by the reconstruction loss from the language
doi:10.1109/cvpr.2018.00425
dblp:conf/cvpr/ChenGN18
fatcat:soi6pispmralrcv642wttutmgu