Neerajj9/Stacked-Attention-Networks-for-Visual-Question-Answering

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

Language: Python - Size: 15.3 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 4

Shivanshu-Gupta/Visual-Question-Answering

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

Language: Python - Size: 2.9 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 68 - Forks: 18

williamcfrancis/Visual-Question-Answering-using-Stacked-Attention-Networks

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.

Language: Jupyter Notebook - Size: 28.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

maryamhashemi/Persian_VQA

Final project of the Deep Learning course.

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jiayi-wei/vqa-tf2

Language: Python - Size: 146 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

abhi608/sans-pytorch

Language: Python - Size: 2.68 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1