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Georgia Tech Visual Intelligence Lab (@GT-Vision-Lab)

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VQA_LSTM_CNN

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.

VQA

abstract_scenes_v002

The second version of the interface for Abstract Scenes research project.

GuessWhich

Evaluating Visual Conversational Agents via Cooperative Human-AI Games

vision_language_in_the_wild

vqa_browser

The VQA dataset browser back-end code, using nginx, Django, an PostgreSQL (running in Docker containers).

VQA-Website

Visual Question Answering Website

torch-utilities

Utility functions for neural network implementations in Torch

abstract_binary_VQA