2019
Language-Agnostic Visual-Semantic Embeddings
ICCV 2019poster
This paper proposes a framework for training language-invariant cross-modal retrieval models. We also introduce a novel character-based word-embedding approach, allowing the model to project similar words across languages into the same word-embedding space. In addition, by performing cross-modal ret…