Harnessing Image Captioning to improve VQA
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Updated
Dec 9, 2017 - Python
Harnessing Image Captioning to improve VQA
VQA Challenge - hosted on Hasura using Flask
This is the coursework of deep learning in UoS
Medical Report Generation And VQA (Adapting XrayGPT to Any Modality)
Stacked attention network for open-ended visual Q&A
Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering (ECCVW 2020)
Visual Question Answering (VQA)
Transformer-based VQA system capable of generating unconstrained, open-ended answers based on OpenAI's GPT-2 117M
My implementation of VQA in PyTorch
The experiment implements a tiny language model trainer using PyTorch.
pytorch implementation of adaptive attention : Knowing when to look
VQA Model trained on yes/no questions part of COCO dataset.
VQA using the Differentiable Forth Interpreter
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