DLCH

Overview

A test implementation for the paper "Deep Lifelong Cross-modal Hashing".

Usage

Environment

• python 3.6+

Supported Toolkits

• pytorch 1.0.0+
• tqdm 4.0+

Demo

We use MIRFLICKR-25K dataset as a demo:

1. Download FLICKR-25K.mat and imagenet-vgg-f.mat from link: https://pan.baidu.com/s/1Q1mbuhaqXXpY6w3BLQw_Pw , password: cnqa.
2. Put files under the folder ./data/.
3. Run main.py.

Additional details

• This is developed on a Linux machine running Ubuntu 16.04.
• Use GPU for the high speed computation.