Bachelor Thesis: Visual Question Answering with Knowledge-based Semantics
Published:
This thesis considers an exhaustive state-of-the-art (SOTA) desription of VQA models, theoretical considerations and implementation details for training a VQA model learning towards a semantical- and conceptually strong latent space spanned by the Conceptnet Numberbatch embeddings as well an analysis of model behaviour by exploiting explainability tools.
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