stacked-attention-networks

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Shivanshu-Gupta / Visual-Question-Answering

CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering

nlp deep-learning cnn pytorch lstm attention visual-question-answering stacked-attention-networks multimodal-tucker-fusion

Updated Jan 19, 2020
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Neerajj9 / Stacked-Attention-Networks-for-Visual-Question-Answering

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Implementation of the paper "Stacked Attention Networks for Image Question Answering" in Tensorflow

python computer-vision deep-learning tensorflow lstm attention convolutional-neural-networks visual-question-answering stacked-attention-networks stacked multimodal-deep-learning image-question-answering

Updated Oct 4, 2019
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abhi608 / sans-pytorch

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python json pytorch lstm h5py word2vec-model vgg19 stacked-attention-networks lstm-attention lstm-seq2seq

Updated Dec 7, 2017
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williamcfrancis / Visual-Question-Answering-using-Stacked-Attention-Networks

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Pytorch implementation of VQA using Stacked Attention Networks: Multimodal architecture for image and question input, using CNN and LSTM, with stacked attention layer for improved accuracy (54.82%). Includes visualization of attention layers. Contributions welcome. Utilizes Visual VQA v2.0 dataset.

natural-language-processing computer-vision deep-learning pytorch vqa visual-question-answering stacked-attention-networks vqav2