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[CV] [NLP] [ML] Visual Question Answering (VQA), MVA master course: Object Recognition and Computer Vision, 2017/2018

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Visual Question Answering (VQA)

Given the input including a picture and a question, the machine will answer the question according to the picture

  • trained a LSTM network to encode questions
  • trained a CNN to encode images
  • fused question and image features into one model and trained the model
  • tested on MS COCO dataset

(to be updated, codes created based on https://github.com/GT-Vision-Lab/VQA_LSTM_CNN)

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[CV] [NLP] [ML] Visual Question Answering (VQA), MVA master course: Object Recognition and Computer Vision, 2017/2018

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