WahajAB/Real-World-VQA

Visual Question Answering (VQA) related to Real World Images by combining convolutional neural networks (CNNs) and transformer-based language models. Our architecture integrates ResNet50 for image feature extraction and BERT for question encoding. We evaluate our model on the processed DAQUAR dataset.

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