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VQA_LSTM_CNN
VQA_LSTM_CNN PublicTrain a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.
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abstract_scenes_v002
abstract_scenes_v002 PublicThe second version of the interface for Abstract Scenes research project.
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GuessWhich
GuessWhich PublicEvaluating Visual Conversational Agents via Cooperative Human-AI Games
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vqa_browser
vqa_browser PublicThe VQA dataset browser back-end code, using nginx, Django, an PostgreSQL (running in Docker containers).
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- abstract_scenes_v002 Public
The second version of the interface for Abstract Scenes research project.
GT-Vision-Lab/abstract_scenes_v002’s past year of commit activity - VQA Public
GT-Vision-Lab/VQA’s past year of commit activity - VQA_LSTM_CNN Public
Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.
GT-Vision-Lab/VQA_LSTM_CNN’s past year of commit activity - vision_language_in_the_wild Public
GT-Vision-Lab/vision_language_in_the_wild’s past year of commit activity - abstract_binary_VQA Public
GT-Vision-Lab/abstract_binary_VQA’s past year of commit activity - vqa_browser Public
The VQA dataset browser back-end code, using nginx, Django, an PostgreSQL (running in Docker containers).
GT-Vision-Lab/vqa_browser’s past year of commit activity
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