Git Product home page Git Product logo

acmr_demo's Introduction

demo codes for "Adversarial Cross-modal Retrieval (ACMR)"

To run the demo:

# Wikipedia dataset
python train_adv_crossmodal_simple_wiki.py # with contrastive loss
python train_adv_crossmodal_triplet_wiki.py # with triplet loss

We have prepared the data in the "./data" folder. If you have any question, please contact Bokun Wang at [email protected].

Note: The codes were modified from the implementation of "Unsupervised Cross-modal Retrieval through Adversarial Learning", written by Li He. If you use the codes, please cite the following two papers:

[1] Li He, Xing Xu, Huimin Lu, Yang Yang, Fumin Shen and Heng Tao Shen. "Unsupervised Cross-modal Retrieval through Adversarial Learning". IEEE International Conference on Multimedia and Expo (ICME), 2017.

[2] Bokun Wang, Yang Yang, Xing Xu, Alan Hanjalic, and Heng Tao Shen. "Adversarial Cross-Modal Retrieval". In Proceedings of 25th ACM International Conference on Multimedia (ACM MM), 2017.

acmr_demo's People

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.