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Ask_Attend_and_Answer

Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering

Code

Instructions for training the "SMem-VQA Two-Hop" model:

  1. Download the provided caffe folder and install caffe following the instructions in http://caffe.berkeleyvision.org/installation.html .

  2. Run ./example/data/get_image.sh to download MSCOCO image data.

  3. Run ./train/train_mm.sh to train the model.

Citation

@article{xu2015ask, title={Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering}, author={Xu, Huijuan and Saenko, Kate}, journal={arXiv preprint arXiv:1511.05234}, year={2015} }

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Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering

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  • C++ 56.9%
  • Makefile 27.3%
  • Python 6.5%
  • Cuda 3.4%
  • CMake 2.3%
  • Protocol Buffer 1.9%
  • Other 1.7%