silasxue / image-captioning

Image Captioning is a project that implements A Distributed Representation Based Query Expansion Approach for Image Captioning

Introduction

This repository contains sample code for A Distributed Representation Based Query Expansion Approach for Image Captioning.

For more details, please visit the project page.

Requirements

• Python 2.7 (Packages such as numpy, scipy etc)

You can install these packages with pip. To install all dependencies at once, just run the following command.

	pip install -r requirements.txt

Installation

• You should download and extract pre-trained visual features to the relevant folders. For example from https://github.com/mjhucla/mRNN-CR

Notes

• We provide pre-trained word vectors but you can train your word vectors or use another pre-trained word vectors.

Demo

• A sample image captioning task is implemented in demo.py

Citing

If you find this software useful in your research, please consider citing:

	@inproceedings{yagcioglu2015captioning,
	author 	= {Yagcioglu, Semih and Erdem, Erkut and Erdem, Aykut and Çakıcı Ruket},
	title 	= {A Distributed Representation Based Query Expansion Approach for
	Image Captioning},
	booktitle = {Proceedings of the 53rd Annual Meeting of the Association for
	Computational Linguistics and The 7th International Joint Conference of
	the Asian Federation of Natural Language Processing},
	year 	= {2015},
	organization 	= {ACL}}

Licence

MIT Licence.